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> on research projects related to kinetic equation and its related multiscale model reduction, numerical method, and data-driven/machine-learning approaches, including: • Numerical simulation of kinetic
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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Research Fellow / Senior Research Fellow in Machine Learning Discovery of Flow Reactor or Microreactor
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, and physics-informed machine learning open new possibilities for establishing grid foundation models. However, it is still unclear which model structures is most capable and suitable, how well they
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Postdoctoral position in machine learning for the development of novel semiconductor materials Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the
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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to
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, machine learning and deep learning methods, and the responsible conduct of research. Training: The candidate will receive training in implementing advanced machine learning and deep learning models, and NLP
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– Discovering Rare Proteins Across the smORF Landscape See advertisement About the position Would you like to use large-scale data analysis and machine learning to uncover proteins that conventional
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is part of ORCRIST: Optimized Ray-tracing for Cloud-Radiation Interaction Simulations in 3D using GPUs and Machine Learning, funded by the NWO Open Technology Programme. Sunlight and heat radiation
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A appointment: PhD or close to submission in robotics, machine learning or other relevant disciplines. Mandatory for Academic Level B appointment: PhD in robotics, machine learning or other relevant
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January 2027 Title: Modelling dynamics and reactivity with Machine Learning Interatomic Potentials Supervisor: Professor Fernanda Duarte Start date: 1 st October 2027 Applications are invited for a fully