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Location: Stanford, USA; Heidelberg, Germany; or remote The team led by Pascal Geldsetzer at Stanford University is looking for a talented researcher with experience in econometric/quasi
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conferences Tasks for own scientific qualification (doctorate) Requirements: Completed scientific university degree in geography, landscape ecology, urban sociology or comparable disciplines Profound knowledge
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projects on metabolic diseases * Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories * Collaborate with clinicians
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) contribution to publications collaboration with internal and external partners tasks for personal scientific qualification (doctoral degree) Requirements: an excellent scientific university degree (with
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qualification (doctorate) Requirements: Completed scientific university degree in geography, (geo)informatics, landscape ecology or comparable disciplines Profound knowledge of GIS software, programming languages
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teaching (supervision of students in practical courses and seminars) tasks for own scientific qualification (PhD) Requirements: completed university degree in chemistry or a related discipline preferably
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undergraduate teaching in the mathematical institute - tasks for personal scientific qualification (doctorate/Ph.D.) Requirements: - completed scientific university degree (preferably above-average
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university degree in Neuroscience (M.Sc.) Experience with international collaborations Advanced knowledge in histology Advanced knowledge in electrophysiological recording techniques (Neuropixel) Advanced
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Application requirements Application Requirements University degree with at least a doctorate (PhD) or higher Outstanding scientific achievements Innovative and original research project 2 letters of reference
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culture Academic Requirements admission to doctoral studies Number of Scholarships up to 10 per year Duration 1 year. Doctoral candidates who will prepare and submit their dissertation to universities in