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, chemistry, computational science, or a related field. Strong expertise in at least two of the following: density functional theory (DFT)/many-body methods, molecular dynamics (MD), machine learning (ML
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in experimental (marine) biology/ecology and an interest in molecular ecology to investigate the prospects of using marine vegetation (e.g., seagrass) to improve the health of commercially important
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join the dynamic and innovative team at the Noël Research Group, where we
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Join the dynamic and innovative team at the Noël Research Group, where we focus on pioneering catalytic strategies and cutting-edge technologies for chemical synthesis. Join us! We currently have
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to utilise material platforms that exhibit multiwell behaviour. One challenge here is to understand and control the dynamic response of the system for complex input signals. Your goal will be
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convolutional and transformer-based architectures, as well as methods for modeling temporal dynamics in longitudinal imaging and omics data. You will also develop explainable AI (XAI) techniques to link imaging
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production of chemicals and fuels through large-scale conversion of renewable electricity into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research
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into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research. Completed a PhD degree in a highly quantitative and analytical discipline (electrical
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and their potential applications in a dynamic environment with a collaborative, multi-disciplinary team. You will be the backbone of the project, supporting the activities of your team. In this role
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Sciences and Biotechnology Institute (GBB) of the University of Groningen (The Netherlands), to investigate RNA structural ensemble dynamics in living cells. What The successful applicant will work on a