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on methods such as functional connectivity analysis, brain network analysis, or machine learning; Excellent scientific writing and communication skills in English; Ability to work independently while
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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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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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of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to this is individual and societal resilience and
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brought forward striving academics, like the first female student, the first Dutch astronaut and various Nobel prize winners. We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI
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programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
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with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
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/ ) excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to
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; Demonstrated interest in research on the intersection of society and AI, preferably as it relates to forms of algorithmic bias; Experience with machine learning or computational modeling; Strong quantitative
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PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in computational chemistry. Advanced programming skills