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2 Sep 2025 Job Information Organisation/Company Humboldt-Universität zu Berlin Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 4 hours ago
RESEARCH INSTITUTE DR. JOSEP TRUETA (IDIBGI) opens the selection process to cover one job position to be part of the Translational research group in cardiovascular respiratory diseases (CAREs), led by Dr
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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https://www.academictransfer.com/en/jobs/354348/postdoc-position-on-ai-based-tr… Requirements Specific Requirements PhD in a relevant field (e.g., medical imaging, computer vision, AI) Expertise in
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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ecosystems in a human transformed landscape” funded by the National Science Centre. Principal Investigator: prof. dr hab. Andrzej M. Jagodziński Key words: hyperspectral imaging, laser scanning, remote sensing