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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
research partners and multidisciplinary collaborative networks. Please ensure your document is uploaded as an Other Document at the time of application. Quick Link https://unc.peopleadmin.com/postings/323093
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Diseases, you can draw on the acquired competence from more than 30 years of research on fish diseases, and a large international network. The section is the National reference laboratory for fish
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collaborators. To secure and further develop this important collaboration, we are now recruiting an applied researcher with a strong quantitative profile and interest in nutrition, health, or medicine. Your role
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directly to biodiversity. With state-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen
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) Developing and writing grant proposals to secure funding for research projects and initiatives After agreement, there is the possibility of performing teaching tasks independently Where to apply E-mail
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, struggle to integrate heterogeneous and longitudinal data, and do not adequately address key challenges related to safety, bias, robustness, and clinical validity. We are seeking a highly motivated PhD
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-supervised by Prof. Nicolas W. Jager at TU Berlin. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg is a
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TensorFlow or PyTorch Knowledge of neural networks – especially convolutional neural networks (CNNs) Understanding of image processing techniques – including filtering, edge detection, and image segmentation
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(‘Christmas bonus’), regular salary increases in line with collective agreements and additional public sector pension provision (VBL) A secure, interesting and varied role at a cosmopolitan university 30 days
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neural networks) to design and optimise integrated photonic devices and metasurfaces. This includes building automated workflows that link electromagnetic simulation tools with AI models to accelerate