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, chemical) engineering, bioelectronics, plant biology or equivalent. We are looking for a candidate who is / has: Academically Strong: Holds a relevant doctoral degree with a solid track record. Technical
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Inference for Statistics, Social, and Biomedical Sciences, or Pearl, 2016, Causal Inference in Statistics) Training deep learning models at scale on compute clusters. The candidate should have a proven track
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experience with electrophysiological methods Strong track record, and a keen enthusiasm for science Additional skills: Experience in human psychophysics LanguagesENGLISHLevelExcellent Research FieldMedical
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analysis is expected as well as a solid track record of publications in high quality journals and conferences relevant to the field. Excellent oral and written communication skills in English are a
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of properties. The project will involve machine learning, and will be performed in close collaboration with the Department of computer science. We have a strong track record in the discovery of both 2D and 3D
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vitro and finally in vivo with external collaborators. The host has an excellent track record (>50% success rate) in acquiring Marie Curie Postdoctoral Fellowships and the chosen candidate is encouraged
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have a strong track record in the discovery of new MXenes (2D metal carbides/nitrides), and we now intend to explore new 2D materials beyond MXenes (2D borides, 2D intermetallic…) for energy and