45 deep-learning-phd-"Computer-Vision-Center" Postdoctoral research jobs in Switzerland
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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. Where to apply E-mail lorraine.dubuis@unige.ch Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Skills/Qualifications Desired profile: PhD in psychology, neuroscience
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of scientific results through publications and on conferences. Your profile PhD degree in materials science, physics or chemistry. Deep knowledge in X-ray diffraction and scattering methods. Additional knowledge
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. Presentation of scientific results through publications and on conferences. Your profile PhD degree in materials science, physics or chemistry. Deep knowledge in X-ray diffraction and scattering methods
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cytometry panel for deep immunophenotyping of murine lungs. Baumann Z et al., Cell Rep Methods. 2024. 5 - Microenvironmental Regulation of Dormancy in Breast Cancer Metastasis: "An Ally that Changes
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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involve teamwork, including coordination with PhD students and other postdoctoral researchers. It is important to demonstrate the spirit of collaboration without compromising research independence. Your