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-impact publications and open-source contributions Collaboration with PhD student, domain experts and international partners Support for conference travel and research networking A stimulating
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(AI). The postdoctoral scholar will collaborate with CETE researchers to publish in peer-reviewed journals and practitioners journals, and to pursue grants and high-impact research projects
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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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as it will focus on research. These tasks will be performed: Simulate a case of layer-cloud observed in USA with a cloud model, comparing with coincident observations; Predict the impact from various
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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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. 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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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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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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Education: PhD in Civil Engineering, Mechanical Engineering, or relevant field. Certification and Licensing: Not applicable Experience: Experience in structural reliability analysis, probabilistic modeling