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16.01.2026 – 2:00 PM – Resolution of appeals 16.01.2026 – 4:00 PM – Final results Additional comments We are seeking a PhD student in Machine Learning for EO Image Processing to join our team, who will be
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Wählby’s research group. Requirements You must have a PhD degree within digital image analysis/image processing or similar, or alternatively in bioinformatics/biomedicine/biology or similar. Documented
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in core molecular imaging technology Advanced knowledge of preclinical
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offer a PhD student position at the Universitat de Barcelona (as part of the PhD Program in Mathematics and Computer Science) to develop new AI and federated learning algorithms for diagnostic imaging in
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Applicants must be eligible to enroll on a PhD program at US (https://www.uni-stuttgart.de/en/research/early-career-researchers/doctoral-degree-studies/ and https://www.f06.uni-stuttgart.de/en/research/phd
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TEC. 2. OBJECTIVES: Development of evaluation methodologies in federated learning and new federated learning techniques applied to underwater oceanic environments for processing tabular data, images
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the procedure for the recognition of academic degrees: https://nawa.gov.pl/en/recognition/recognition-for-professional-purposes/recognition-of-scientific-degrees-and-titles Applications (in PDF file
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/01/2026 Application process open
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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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processing of legacy data for cultural heritage objects at the Fitzwilliam Museum and the McDonald Institute for Archaeology. Applicants should have, or be close to completing, a PhD in Heritage Science