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the development of AI-powered smart care solutions. The position is at the Department of Computer Science, Electrical and Space Engineering, Division of Computer Science, at Luleå University of Technology (LTU
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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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fully funded 3.5 PhD (GTA) starting in January 2027 for the following disciplines; Biochemistry, Cell Biology, Chemistry, Computational Biology, Genetics, and Sports, Exercise and Rehabilitation Sciences
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home...
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Oct 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026
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foundation models and world models enable robots that understand instructions, interpret scenes and generate behaviours. However, most systems require huge datasets, extensive teleoperation, expensive compute
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organisation. Where to apply E-mail [email protected] Website https://jobs.dkfz.de/en/jobs/168859/phd-position-in-computational-biologybioinf… Requirements Additional Information Website for additional
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework