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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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who have a PhD in Economic Geography, Regional Science, Economics, or any other related discipline (with a strong quantitative social sciences component). a track record of working in suitable
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external funding; Establishing and coordinating a learning community in the field of Data Science and Healthy Lifestyles to promote knowledge sharing and collaboration. Your qualities A completed PhD in a
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and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical
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Organisation Job description A 2-year postdoc position in computational social choice for digital democracy is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial
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research in the field of biomolecular sciences. Twelve vibrant research groups with strong roots in biophysics, biochemistry & molecular biology, cell biology, chemistry, computational biology, microbiology
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Postdoc Perceived rural accessibility and the influence of spatial scale (V25.0227) « Back to the overview Job description The Faculty of Spatial Sciences is looking to appoint a postdoctoral
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years), or be close to completing a PhD in engineering or physics, preferably with a focus on the development of fluid-thermal-structure interaction mathematical models. A thesis topic relevant to
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PhD* in a topic such as animal acoustics, machine learning, quantitative ecology, quantitative biology, signal processing or similar. Evidence of the ability to conduct high-quality research and write
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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