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DTSTART;TZID=UTC:20260413T000000
DTEND;TZID=UTC:20260417T235959
DTSTAMP:20260501T051136
CREATED:20251027T135314Z
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SUMMARY:CaMMLs - Chemical and materials machine learning school 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE & TIME13th April – 17th April 2026 COST£250 APPLICATION DEADLINE26th November 2025 \n\n\n\napply Here\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nSTFC Daresbury LabKeckwick Ln\, Daresbury\, Warrington WA4 4AD \n\n\n\n\n\n\n\n\nDescription\n\n\n\nThis machine learning for materials training course is being run by AIchemy Hub in collaboration with Physical Sciences Data Infrastructure (PSDI) initiative with support from STFC-SCD\, PSDS\, CCP5 and CCP9. This training is targeted towards PhD students\, in particular those in the Materials and Molecular Simulations field\, who have experience of coding but are not highly experienced with machine learning. The aim of this training is to introduce attendees to the latest methods of machine learning for the atomistic simulation of materials. \n\n\n\nThis training will encompass a number of talks and practical sessions\, focusing on the basics of machine learning\, machine learning interatomic potentials and graph neural networks. There will also be the opportunity for attendees to present a poster on their work. \n\n\n\nLearning outcomes\n\n\n\n\nAwareness of the state-of-the-art methods for machine learning for atomistic and molecular simulations\n\n\n\nHands on experience of using machine learning for atomistic and molecular simulations\n\n\n\n\nOutline Agenda – Draft\n\n\n\nSessionsMondayTuesdayWednesdayThursdayFridayMorning  DescriptorsNNsMLIPs generalGenerative modelsAfternoonIntro to MLBayesian OptimisationGNNsMLIPs – molecules/ materials EveningPostersResearch Seminar – Ruby Sedgwick – XymeBBQResearch Seminar – Venkat Kapil – UCL \n\n\n\nPre-requisites\n\n\n\nStudents attending this course must already have a foundational level of Python experience and hands on experience of using Python in their research. You will be expected to provide your own laptop for the training course\, although software installation will not be required. A letter of support will be required from your supervisor alongside your application\, this will be requested by email following your application. This letter of support is to show the backing of your supervisor to attend the training and must be completed for your application to be assessed.  \n\n\n\nTimelines & Fees\n\n\n\nThe application deadline is 26th November 2025. Supervisors will be contacted for a letter of support following you application. All letters of support must be submitted by 6th December 2025. \n\n\n\nYou will be informed of the outcome of your application on 19th December 2025\, you will have to accept your place by 15th January 2026 and payment is required by 13th February 2026.  \n\n\n\nFood and 4 nights accommodation (Travelodge Warrington) is included in the £250 fee paid for this event\, travel to Daresbury (and public transport to /from the lab) is not included and will need to be covered by the attendee.  \n\n\n\nPlease note: places on this course are limited and in the event of oversubscription to the training course we will favour a diverse group of attendees.   \n\n\n\n\n\nThe Organising Committee:\n\n\n\nAlchemy HubCaMMLSDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr. Chris Mellor (Imperial)Aysel Sarzosa Llerena (Imperial)Alin-Marin Elena (Scientific Computing Department\, STFC) Keith Butler (University College London)Reinhard Maurer (University of Vienna)Alex Ganose (Imperial)Ioan-Bogdan Magdău (Newcastle University)Nicola Knight (University of Southampton)
URL:https://aichemy.ac.uk/event/cammls-chemical-and-materials-machine-learning-school-2026/
CATEGORIES:Training School
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DTSTART;TZID=UTC:20260327T090000
DTEND;TZID=UTC:20260327T170000
DTSTAMP:20260501T051136
CREATED:20260109T124118Z
LAST-MODIFIED:20260122T101757Z
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SUMMARY:Generative Modeling Spring School 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE23rd March 2026 – 27th March 2026 COST£400 – £1000* – further details on GEMSS website APPLICATION DEADLINE23rd January 11:59pm \n\n\n\nmore info & to apply click Here\n\n\n\n\n\n\nVENUE LOCATION\n\n\n\n\nImperial College London Monday to Wednesday at the South Kensington Campus Exhibition Road\, London SW7 2AZ. Thursday and Friday at White City CampusMolecular Sciences Research Hub\, White City\, London W12 0BZ. \n\n\n\n\n\n\n\n\nDescription\n\n\n\nThe AIchemy Hub is pleased to sponsor and co-host the Generative Modelling Spring School (GEMSS) 2026 at Imperial College.GeMSS is a European spring/summer school dedicated exclusively to deep generative models\, including latent variable models\, diffusion and flow-based models\, and autoregressive generative models. It primarily attracts PhD students and researchers across Europe with an interest in generative modeling. \n\n\n\nThe school has a distinctive format: the first three days focus on intensive lectures and tutorials covering foundational concepts\, followed by invited talks on state-of-the-art generative models that highlight current research frontiers. \n\n\n\nGeMSS is aimed at PhD students working broadly in data science and AI for whom generative modeling is\, or may become\, an important component of their research. The program is designed to be relevant both for students pursuing methodological research (e.g.\, machine learning\, statistics\, and AI) and for those working in applied domains such as bioinformatics\, computational physics\, computational chemistry\, and computational social science. The school is also open to postdocs and senior researchers from academia and industry as part of their continuing training in generative AI. \n\n\n\nSubmission & Registration\n\n\n\nFull details on the application and selection process is available on the GeMSS website. \n\n\n\n\n\nLecturers\n\n\n\nThe first three days will be taught by the main lectures\, while there will be invited lectures giving tutorials the last two days.  \n\n\n\n\nJoey Bose\, Imperial College London\n\n\n\nAlbert Q. Jiang\, Mistral AI\n\n\n\nSimon Olsson\, Chalmers University of Technology\n\n\n\nArnaud Doucet\, University of Oxford & DeepMind\n\n\n\nJakub M. Tomczak\, Chan Zuckerberg Initiative\n\n\n\nPierre-Alexandre Mattei\, Inria\, Université Côte d’Azur\n\n\n\nJes Frellsen\, Technical University of Denmark\n\n\n\n\n\n\nOrganisation & Sponsors\n\n\n\nThe summer school is jointly organised by: \n\n\n\n\nYingzhen Li\, Imperial College London)\n\n\n\nBenjamin Guedj\, University College London\, Inria\n\n\n\nPierre-Alexandre Mattei\, Inria\, Université Côte d’Azur\n\n\n\nJakub M. Tomczak\, Chan Zuckerberg Initiative\n\n\n\nJes Frellsen\, Technical University of Denmark\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nContact\n\n\n\nFor matters regarding the summer school\, please contact gemss@sciencesconf.org. \n\n\n\n\n\n\n\n\n\n\n\nOutline Agenda – Draft\n\n\n\nThe full agenda is on the GeMSS website. \n\n\n\n\n\n\n\nMonday (Mar 23)South KensingtonTuesday (Mar 24)South KensingtonWednesday (Mar 25)South KensingtonThursday (Mar 26)White CityFriday (Mar 27)White City9:00-9:15Opening remarks9:15-10:30Lecture9:30-10:30Lecture9:30-10:30Lecture09:00-10:30Invited talk09:00-10:30Invited talk11:00-12:00Lecture11:00-12:00Lecture11:00-12:00Lecture11:00-12:30Invited talk11:00-12:30Invited talk12:00-13:30Lunch12:00-13:30Lunch12:00-13:30Lunch12:30-14:00Lunch12:30-14:00Lunch13:30-15:00Lecture13:30-15:00Lecture13:30-15:00Lecture14:00-15:30Invited talk14:00-15:30Invited talk15:30-17:00Lecture15:30-16:30Lecture15:30-16:30Lecture16:00-17:30Invited talk16:00-16.30Closing17:15-18:30Hands-on session17:00-18:30Hands-on session17:00-19:00Poster session19:00Gala dinner
URL:https://aichemy.ac.uk/event/generative-modeling-spring-school-2026/
CATEGORIES:Training School
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DTSTART;TZID=UTC:20251208T000000
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SUMMARY:Winter School: Robotics and AI for Materials Chemistry 2025
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE8 – 12 December\, 2025 COST£100 \n\n\n\nApplications CLOSED\n\n\n\nView detailed agenda\n\n\n\nRead the Blog\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nChemistry Building\, University of LiverpoolLiverpool\, L69 7ZD\, United Kingdom \n\n\n\n\n\n\n\n\nPlease note: Applications are now closed for this training school. \n\n\n\nThe Robotics and AI for Materials Chemistry Winter School is a five-day intensive training programme focused on digital and automated chemistry\, robotic systems\, and AI-driven scientific discovery. Hosted at the University of Liverpool\, the school is designed for PhD students and early-career researchers\, or those new to digital chemistry and AI\, and who want to build their capabilities in this rapidly evolving field. A strong working knowledge of Python is required to fully benefit from the practical sessions and technical content. \n\n\n\nThis Robotics and AI for Materials Chemistry Winter School will: \n\n\n\n\nProvide essential skills in digital chemistry\n\n\n\nStrengthen understanding of AI and machine learning\, building on participants’ existing knowledge\n\n\n\nOffer hands-on experience with key tools and techniques for automated\, intelligent lab environments\n\n\n\n\nParticipants will explore a range of cutting-edge topics\, including: \n\n\n\n\nDigital twins for robotic chemists\n\n\n\nBayesian optimisation for chemical discovery\n\n\n\nAI-driven robotic chemists\n\n\n\nRobotic manipulation for lab automation\n\n\n\nSimulation of robotic chemists\n\n\n\nComputer vision-led chemistry\n\n\n\nMulti-modal machine learning for science\n\n\n\nAgentic AI-based discovery\n\n\n\nHuman-in-the-loop robotic discovery\n\n\n\n\n\n\n\n\n\nProvisional Programme\n\n\n\nMondayTuesdayWednesdayThursdayFridayInvited Talk: Dr Felix HankeInvited Talk: Dr Michele CaprioPractical Tutorial: Bayesian Optimisation for Chemistry – Dr Bojana RankovicInvited Talk: Dr Efi Psomopoulou Invited Talk: Dr Shijing SunPractical Tutorial: Bayesian Optimisation Basics and Human-in-the-loop modelling’ – Dr Manisha DubeyPractical Tutorial: Robot SimulationPractical Tutorial: Robot ManipulationProject WorkInvited Talk: Prof. Subramanian RamamoorthyPractical Tutorial: Machine Vision for ChemistryProject WorkProject WorkProject WorkProject PresentationsSocial Networking Event\n\n\n\n\n\n\n\nConfirmed Speakers\n\n\n\n\n\nDr Felix HankeCusp AI\n\n\n\n\n\nDr Manisha DubeyUniversity of Edinburgh\n\n\n\n\n\nDr Michele Caprio University of Manchester\n\n\n\n\n\nDr Bojana RankovicEPFL\n\n\n\n\n\n\n\nDr Efi PsomopoulouUniversity of Bristol\n\n\n\n\n\nDr Shijing SunUniversity of Cambridge\n\n\n\n\n\nProf. Subramanian Ramamoorthy University of Edinburgh\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nPlease note that the registration fee does not include accommodation\, travel or subsistence. Participants are responsible for arranging their own accommodation and transport during the Winter School. \n\n\n\nWe are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities. \n\n\n\nA social networking event will be hosted on one evening during the school and is included in the registration. \n\n\n\nFor those seeking alternative options\, Liverpool offers a wide range of hotels\, serviced apartments\, and budget accommodations within easy reach of the University. \n\n\n\nLiverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University and the recommended hotel. \n\n\n\nAirports:\n\n\n\n\nLiverpool John Lennon Airport (LPL) – Around 30 minutes from the University by taxi or public transport. The airport offers flights to many UK and European destinations.\n\n\n\nManchester Airport (MAN) – Around 1 hour by train or car\, with direct rail connections to Liverpool Lime Street. This airport provides a wide range of international flight options.\n\n\n\n\n\n\n\n\nHow to Apply:\n\n\n\nPlaces are limited and to ensure a balanced mix of expertise and perspectives we are asking applicants to apply. As demand is expected to be high\, we ask all interested participants to complete the application form by 24th October 2025 and decisions will be given to applicants by 31st October 2025. \n\n\n\nPlease note: all bookings are non-refundable. \n\n\n\n\n\n\n\nContact details:\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk. \n\n\n\n\n\nThe Organising Committee:\n\n\n\nAlchemy HubUniversity of LiverpoolDr. Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Gabriella PizzutoDr Xenofon EvangelopoulosProf. Alessandro TroisiMinh Cao
URL:https://aichemy.ac.uk/event/winter-school-robotics-and-ai-for-materials-chemistry-2025/
CATEGORIES:Training School
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