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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA of 15 January
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: The PhD project will be carried out within the Vascular Neurology Research Group
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full time and on campus. Applicants who already hold a PhD will not be considered. Application Process To apply for this position please follow the steps below: Submit an Expression of Interest (EOI
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Interest Future Research Plan Teaching Statement Number of References: 3 To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact
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this selection procedure, one (1) position equivalent to that of PhD Researcher is open in the area of Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing. The work
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/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https://emploi.cnrs.fr
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03.08.2026 Application deadline : 16.10.2026 A PhD position (m/f/d, E13 TV-L, 65%) for a fixed term of four years is available in our laboratory at the Center for Plant Molecular Biology (ZMBP
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project will be carried out at the Optics and Biosciences Laboratory at École
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applications for a tenure-track faculty position at the Assistant Professor level in the College of Veterinary Medicine (CVM). We welcome candidates with a PhD or equivalent degree who will develop a research