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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
the interpretability, generalization, and physical consistency of machine learning models for PDEs. Exploring how data-driven methods can accelerate simulations and improve prediction in complex turbulent systems. Your
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accelerates the development, validation, and translation of next-generation, minimally invasive diagnostic technologies. About the role At the Label-free Bioimaging Laboratory at King’s College London, a
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
2 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Chimie Moléculaire et des Matériaux d'Orsay Research Field Chemistry Physics Technology Researcher Profile Recognised
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Description Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs
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societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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EU's Work Package, spanning childhood and adolescence. The role will include designing, implementing and analysing a 3-wave quasi-experimental, accelerated longitudinal study in primary schools, as
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Eotvos University, Particle Physics Research Group Position ID: Eotvos University-Particle Physics Research Group-POSTDOC [#31265] Position Title: Position Type: Postdoctoral Position Location