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Field
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will include processing and analysis of neurophysiology data, developing stimulation protocols, presenting at conferences, and publishing scientific manuscripts. The postdoc may also supervise
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for current and future imaging needs. This position will be hired at the rank of Professional Specialist. Responsibilities: Training and advising undergraduate and graduate students, postdocs, research
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. Department: Craniofacial & Regenerative Biology. Contact details:Abigail Tucker. Abigail.tucker@kcl.ac.uk Location: Guy's Campus. Category: Research. About us The Tucker lab is looking for a postdoc to work
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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scientific discovery with a focus on microscopy image analysis. Specifically, we are interested in the development of new methods to identify structures of interest in large datasets (detection, segmentation
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 5 hours ago
Job Code: 2026-Postdoc-ProteomeRemodeling Job Offer from April 16, 2026 The research group of Matthias Muhar at the Max Planck Institute of Molecular Cell Biology and Genetics , Dresden
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Researcher (R2) Positions Postdoc Positions Application Deadline 4 May 2026 - 00:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in