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Imaging Utilize Immunohistochemistry and Fluorescent and Confocal microscopy as appropriate. Preferred Qualifications 5-7 years of lab research experience or a PhD in biological sciences with a preference
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Join the Laan Lab at TU Delft to unravel the mesoscale physics of how cells maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often
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disease diagnostics. Responsibilities: Design, prototype, and test microfluidic systems for point-of-care biosensing applications Develop implantable or wearable devices for real-time in vivo diagnostics
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the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
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supports PFE’s strategic focus on sustainable medical technologies, offering significant commercial, environmental, and operational benefits across the healthcare supply chain. Candidate Profile A PhD in a
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approaches, we aim to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad implications for understanding cellular health and disease. As a PhD student on
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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
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, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join
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: •A PhD in biomedical sciences, biomedical or bioengineering sciences, or a closely related field, with a strong quantitative background and an affinity for biological processes. •A solid background in
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to process and understand large experimental datasets (e.g., image processing) #analyzing experimental results; developing conceptual models and parameterizations #scientific publication and presentation