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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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development Process multi-model scenario data (IAMC format) into consistent indicators, figures and statistics, with version-controlled, reproducible code Contribute to / lead written outputs, including reports
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electrochemistry and catalysis, and spin-controlled processes in molecular and biomolecular systems. Primary Responsibilities Design, execute, and interpret experiments probing spin-polarized charge transport
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. The project will use quantitative mitochondrial-tracing approaches, including a recently established HiBiT-based platform, live-cell imaging, CRISPR-engineered cancer models and tumour–stromal co-culture
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to Specific Requirements Experience in inflammatory bowel disease, immunology, inflammation,biomarkers, or related fields. Experience with cell cultures, organoids, or other experimental models. Knowledge
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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, experimental, and modelling datasets related to physical oceanography, bentho-pelagic coupling, and carbon export. • Investigate the mechanisms controlling carbon export from surface waters to the deep ocean
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of data, expert knowledge, computational models, digital twins, and advanced artificial intelligence within a new intelligent decision-support framework. This position corresponds to Doctoral Candidate 15
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to contribute to a more sustainable and better world? We, Wageningen Food & Biobased Research (WFBR), are looking for a researcher data & modelling. Are you the one who will strengthen our team? What will you do
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) project aims to develop very high-power batteries (full charges or discharges in a few minutes), as well as the models and control strategies that allow their safe operation. Twelve laboratories in Germany