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research groups Selection criteria: Essential: Hold a PhD/DPhil (or close to completion) in biochemistry, molecular biology, neuroscience or a related field. Experience with human iPSC culture models
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data into human health-relevant biological information, bridging the gap between environmental monitoring and public health protection. The PhD will be co-supervised by Dr. Muriel Mercier-Bonin (INRAE
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quality of human reasoning – specifically the capacity for genuine engagement with views that differ from one’s own (what the programme terms “doxastic plasticity”). The programme develops and deploys LLM
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designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems! The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical
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the informatics of surface and interface structures, predicting synthesis conditions, properties, and functionalities vital for catalysis, advanced coatings, and thin films. We are particularly looking
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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scholarship holder in the field of Machine Learning and Systems Modelling for Advanced Air–Liquid Interface Cell Culture Models. Position You will work actively on the preparation and defence of a PhD thesis
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will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related discipline before their appointment start date at Penn
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to open-source releases Your profile - PhD in Meteorology, Physics, Computer Science, Environmental Sciences, or a related field - Experience with atmospheric models and geostatistical interpolation methods
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generated will speed up drug design and development and push forward our understanding of human health and disease. As a Franklin PhD student you will: * Work on highly interdisciplinary projects with real