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Field
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pathology applications, including the assessment of kidney biopsies. The innovative application of machine learning in clinical settings creates a vibrant and inspiring research environment. You will be part
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, Experience in image processing and image analysis of tomographic or other imaging data, High motivation, ability to quickly learn new techniques, and strong time management skills, Strong collaboration and
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-home rates. You will learn a wide range of molecular modelling techniques, as well as collaborative software development and computational skills providing expertise for a broad range of future careers
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group of Prof. Felix Deschler under the remit of the collaborative research center SFB 1249. The positions are available immediately (fixed term contract, end of funding period 31.12.2028). These 3-year
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learn language and how best to support those with language delays. This is a half-time position (i.e., 20 hours per week). Desired start date is January 6, 2026, but is negotiable. Off-dated position
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project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the
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transceiver design with measured and verified state-of-the-art performance, published in premier international journals and conferences within the field. The project is part of a collaboration between Linköping
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams and
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want to be part of a passionate and curiosity-driven research team? Are you challenged by learning and applying cutting-edge molecular biology techniques to address your research questions? Then this job
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture