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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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to interact and collaborate to develop robust ways to decode single molecule imaging data. Your profile The candidate should hold a PhD in biophysics, chemistry, nanoscience or related subjects and have a
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hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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development and discovery Cell biology and imaging Plant development and cell differentiation Phytohormone regulation Structural and functional biochemistry We also welcome applicants who apply artificial
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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. This project aims to improve the evaluation of nitrogen losses in cropping systems by analyzing experimental results and carrying out process-based modelling. Additionally, you will apply your research findings
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: Programming skills (Python, and/or C# or similar programming language). Knowledge of some of the following fields: medical image data, database structure, image processing, creation of user-friendly WEB pages
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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University. You will have many opportunities to connect with other research partners, and collaborate with PhD and other postdoctoral fellows, in cross-disciplinary collaborations with other research groups