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Field
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) Country Germany Application Deadline 5 Oct 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme
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24 Oct 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher (R1) Country
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communication and academic writing skills in English Specific Requirements Strong programming skills (Python, C++) Solid background in ML/DL libraries (e.g., PyTorch, TensorFlow) Knowledge of computer vision
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Programme? Horizon Europe Reference Number 101059842 Is the Job related to staff position within a Research Infrastructure? No Offer Description CTGCT – Center for the Technologies of Gene and Cell Therapy
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to perform cutting-edge neuroimaging
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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multicellular human heart tissue constructs derived from induced pluripotent stem cells. As part of the PhD program, you will receive advanced training in biofabrication, microscopy, computer vision, and hydrogel
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV
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Full Time Add to My Favorite Jobs Email this Job Job Summary #CA-DK The laboratory of Glenn Yiu, M.D., Ph.D. in the Department of Ophthalmology & Vision Science at UC Davis School of Medicine is seeking
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integrate multiple signals during communication (e.g., using insights from psycholinguistics and neuroscience to inform computational models of multimodal language processing- Building AI agents that engage