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Field
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for ambitious scientists seeking to transition to independent research leadership while contributing to cutting-edge, interdisciplinary projects at the intersection of AI Virtual Cell modeling, Epigenetics, and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
, energy optimization, and sustainable urban mobility. The position focuses on the development of a hybrid electromobility model within the eMob-Twin platform, combining large-scale mobility data from
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-making and model validation. Facilitate participatory workshops and present research findings to community energy committees and partner organizations. Translate complex technical energy analytics
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projects at the intersection of AI Virtual Cell modeling, Epigenetics, and Stem Cell biology. Research Focus for This Position We are particularly interested in candidates who can integrate AI-driven virtual
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transitions and sustainable land use. About the research project The research will develop and apply quantitative models to analyse how new environmental constraints affect hydropower operation, flexibility
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Khan’s research develops and applies human organoid models to investigate the basic processes of blood and immune cell production, and how these mechanisms are disrupted in ageing and disease
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global demand for computing systems capable of handling massive data flows while drastically reducing energy consumption. Within France's national PEPR SPIN program, our team investigates innovative spin
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called CoTide that is developing whole system engineering models and innovative designs for tidal energy systems. The CoTide project team brings together world-leading centres at the Universities of Oxford
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chemical biology, analytical chemistry, mass spectrometry–based omics, advanced imaging, and in vivo models to define the fundamental mechanisms governing brain lipid metabolism. Baylor College of Medicine
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their fundamental knowledge in basic cell function to engage creative new concepts of biological engineering to translate mechanistic insight from model organisms, in particular yeast, into more complex cellular