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experience with omics data analyses guided by strong biological understanding demonstrated experience in statistical analysis and development of computational tools documented programming skills, preferably in
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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to publications and grant writing, and support the supervision of students and junior researchers in one the following research areas: Computational oncology AI drug discovery Statistical genetics, single-cell
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understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and upcoming AI methods to analyze the climate
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independent work but demands a comprehensive understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand
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international researchers who would like to continue a promising research program in a highly stimulating research context that values ideas, innovation, and independent thinking. We offer the perfect
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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alignment and bioinformatics analyses Integrate computational, laboratory, and fieldwork approaches to study population genetics Develop and apply statistical and computational models for evolutionary