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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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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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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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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
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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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collaborate with the Principal Investigator and help coordinate research with and supervise the research of two PhDs working on the project (one who focuses on Nigeria, and one who focuses on Mozambique
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of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
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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