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for this position will have the following qualifications/qualities A PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in
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, ambitious, creative, enthusiastic about RNA and interested in conducting both wet-lab and in silico work. You must Hold a PhD in molecular biology, biochemistry, or related disciplines. Have experience with
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of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in computer science, AI, mathematics, or a related discipline, with a research track record in computational
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share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in celestial mechanics
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Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in
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collaborative work. Your independent work takes place within the framework of the “VR as Empathy Machine” project and you will closely collaborate with both the PI and two PhD candidates and co-supervisor who
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manuscripts. Qualifications We are looking for candidates who have A PhD in Geography, Economics, Regional Science or any other related discipline (with a strong social science component). Excellent English for
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disseminate, via research and teaching, rigorous and distinctive research which helps to realize this vision. FSS employs around 100 academic staff members, over 100 PhD candidates, and serves about 1100
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consists of interns, residents and PhD candidates. Together we are responsible for the education of veterinary students, provision of clinical services to horses and companion animals, and both clinical and
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seek a highly driven and talented individual with a passion for planetary health and a commitment to driving change. You should bring: A PhD in a relevant discipline (e.g., public health, environmental