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. The project sits at the intersection of machine learning, neuroscience, and behavior, with applications ranging from music cognition to speech-in-noise perception in audiology. You will work with naturalistic
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is expected to conduct knowledge syntheses on how agroecological measures affect biodiversity and ecosystem services, as well as on existing tools for modeling such effects. In collaboration with
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understanding of microbial and human metabolism, its regulation and dynamics, and its impact on disease. Ultimately, our goal is to use this knowledge to create innovative therapies and diagnostics. We mainly
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for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced
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innovation with clinical relevance and real-world impact. Postdoctoral Researcher Explainable AI and Foundation Models for CT Imaging Our goal: To develop and validate novel AI methods that enhance
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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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conditions. Research questions centre around 4 topical lines: 1) the impact of human population dynamics, subsistence imperatives and landscape use on biodiversity; 2) the relation between inequalities and
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Education: PhD in Civil Engineering, Mechanical Engineering, or relevant field. Certification and Licensing: Not applicable Experience: Experience in structural reliability analysis, probabilistic modeling
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the relevant training Is Your profile described below? Are you our future colleague? Apply now! Education · PhD degree with demonstrated theoretical and practical knowledge in Materials science and in