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modelling, hybrid modelling and/or machine learning to study ecosystem processes, as well as with handling of big data and/or processing of Earth observation data. Specifically, experience with Python
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Fully funded PhD positions in nanoscience Employer Max
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. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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grants based at Stanford and the VA Big Data-Scientist Training Enhancement Program (BD-STEP). For more senior postdoctoral candidates with MD degrees who may be competitive for an instructor position
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biomarkers for brain diseases, particularly Alzheimer's disease. A large amount of data on fluid biomarkers has been generated in multiple international collaborative projects, and we are now
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faculty, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been
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encompasses both clinical and experimental studies as well as data analysis of clinical and epidemiological data. Subject area Psychopharmacology Subject area description Psychopharmacology
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, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or
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relevant to the subject area. To qualify as a postdoctoral researcher for this position, the applicant should hold a PhD in Statistics, Neuroscience, Data Science, Medicine or similar. Assessment Basic