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Field
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conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field
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provides opportunities to strengthen your academic profile through (co-) supervision of PhD, MSc, and BSc students, as well as teaching (if desired). Especially attractive is the opportunity to collaborate
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qualifications: PhD in machine learning, statistics, computational biology, applied mathematics, physics, or similar. Eligible candidates may apply before completing their PhD degree. However, a documented proof
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aim for deployment in and around OWFs. THE CANDIDATES We are looking for an enthusiastic candidate with: an PhD degree in marine ecology, oceanography, extensive knowledge on North Sea zooplankton
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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: 30.04.2032 Reference no.: 5326 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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materials to: apena23@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all
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environment affiliated with the European Laboratory for Learning and Intelligent Systems (ELLIS) Institute Finland. The selected candidate will contribute to the development and implementation of precision
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their PhD degrees in pharmacology, cell biology ,or related field and should have experience in cancer biology. • Experience in cell culture and mouse models • Excellent verbal and written skills are required
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets