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to develop novel strategies that contribute overcoming critical resource bottlenecks in energy devices. The successful candidate will be joining the CO2 Mitigation Accelerated by Photons group led by Prof. Dr
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Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for exceptional researchers and engineers, with an excellent proven track record, to develop efficient water
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build using molecular dynamics, the MACE foundation models and density functional theory. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate
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for Catalysis Group. The group offers a dynamic, multidisciplinary environment focused on modelling catalytic reactions and developing workflows and AI models for accelerated catalyst design. The candidate will
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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, including parental leave and flexible working hours Mentorship and training, including access to free courses and resources, to accelerate your professional development Additional comments How to apply
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g