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biology Experience and expertise in using model organisms (preferably zebrafish) Experience and expertise in imaging techniques and image analysis Possess strong bioinformatics skills for analysing and
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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Biology CV and cover letter Selection process Deadline for receipt of applications : October 4th 2025 Terms of application and communication with the candidate : Application link : recrutement-polesante
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 20 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.01.2026
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Molecular and Cellular Biology, Neuroscience, or a related discipline. The candidate must have a strong scientific background and familiarity with C. elegans genetics and gene editing, neuronal Ca2+ imaging
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interdisciplinary research efforts process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. About you a PhD in Neuroscience, Computational Neuroscience
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5 Sep 2025 Job Information Organisation/Company AGH University of Krakow Department Academic Centre for Materials and Nanotechnology Research Field Chemistry Researcher Profile Recognised Researcher