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without research, teaching and supervision obligations. The candidate will apply for admission to the PhD program in Health and Welfare (HELVEL). It is a requirement that the PhD research fellow qualifies
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teams or pursue their own research project or vision relevant to the department’s profile. The department develops mathematical, statistical, and computational methods for the analysis of complex systems
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, film studies, music studies, computer vision, media archaeology, aesthetics (Program website ). The successful applicant will work under the supervision of Prof Bénédicte Coste, Coordinator of MSCA-JD
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author
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into actively morphing and efficient structures? Applications are invited for a 3.5-year UK PhD studentship for the project "Design, Experimental Investigation, Aeroelasticity Modelling and Control of an Aircraft
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structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil
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35 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for
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inclusive place to study and work. Two PhD Research Fellows in Fish Physiology There is vacancy for two PhD Research Fellows in fish physiology with a focus on vision and ecophysiology at the Department
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having