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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 20 May 2026 - 18:00 (Europe/Berlin) Country Germany Type of Contract Temporary
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improve the sustainability, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Multisensor and
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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
Job Code: 2026-Predoc-Bioimaging-2430 Job Offer from March 04, 2026 Optical microscopy is essential for studying dynamic processes in living cells due to its unique live cell imaging capabilities
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improve the sustainability, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Experimental
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position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Starting date: 02.04.2026 Job description:Doctoral student
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, Excel, PowerPoint) Adobe Illustrator and Photoshop or similar image processing software Basic knowledge and practical experience in the operation of high-resolution mass spectrometers (preferably Orbitrap
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PhD project: In higher eukaryotes, proteins that lack an apparent folded structure are enriched in many vital processes. The Lemke group studies intrinsically disordered proteins in vital cellular
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time