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to apply Website https://www.academictransfer.com/en/jobs/359291/postdoc-in-machine-learning-and… Requirements Specific Requirements We will base our selection on the following components: a PhD degree in an
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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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, the identification of predictive features, and the construction and validation of statistical or machine-learning-based models. The postdoctoral researcher will be responsible for: Developing a
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or writing sample you are particularly proud of; Contact information for two academic references, preferably including your PhD supervisor, who may be contacted during the selection process; The first round of
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: https://rademaker.unige.ch/ The candidate · holds a PhD (or an equivalent degree) in Theoretical Quantum Matter Physics by the starting date; · has excellent spoken and written English
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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flexible and driven researcher with a (recent) PhD, preferably in virology, veterinary sciences, or a related biomedical field. You are accustomed to working in an interdisciplinary team, learn quickly and
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while