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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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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 8 days ago
resonance imaging (MRI), biological/physiological sciences, and a strong interest in experimental work with small animals. The position is part of the interdisciplinary project WildBrain, which investigates
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, Bioengineering, or related field * 3+ years of post-doctoral experience in RNA biology or imaging technologies (biotech or academia) * Hands-on expertise across a diverse set of histological and molecular biology
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experimentally, and its quantitative features remain poorly constrained. The objective of this PhD project is to perform next-to-leading order (NLO) calculations within the CGC framework for a set of key processes
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD position (applies to university PhD positions): About the PhD Research Fellow position
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player and can take responsibility. You are enthusiastic to be part of a dynamic research lab. Our offer A 4-year PhD position through Ghent University A working climate in which trust, international
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related to staff position within a Research Infrastructure? No Offer Description You will join the GIN: https://neurosciences.univ-grenoble-alpes.fr You will be supervised by Julien BASTIN (Inserm Research
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) Positions PhD Positions Application Deadline 23 Apr 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 25 Offer Starting Date 1 Jun 2026 Is the job
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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation