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knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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. The Fellow will work in close partnership with the lab's experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of
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experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of the Bioinnovations in Brain Cancer initiative, the Fellow will
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as one PDF) 2. 2027 MQLF CV and Research Opportunity and Performance Evidence Form 3. Evidence of PhD conferral (if awarded) or submission date For general information about the Fellowship opportunity
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11 Mar 2026 Job Information Organisation/Company RUĐER BOŠKOVIĆ INSTITUTE Department Division for Marine and Environmental Research Research Field Biological sciences Researcher Profile Recognised
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Apply Now How to Apply Upload a resume/CV, cover letter, and contact information for two referees (combined into a single PDF) via the U-M applicant system. Questions about the position should be
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exposed to laser-accelerated intense proton beams. Primarily, the tasks are to be done by means of analytical calculations and high-performance computing simulations in a strong link with the industrial
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, documentation, merging, cleaning, and storage of datasets. Create and document final analytic datasets. Compile and organize survey measures and data collection instruments. Contribute to the development and
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preparation and submissions. 20% Data Management: Manage the programming, organization, documentation, merging, cleaning, and storage of datasets. Create and document final analytic datasets. Compile and