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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful
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understanding with language-based reasoning. Process micro-facial expression data more efficiently in computer vision and vision language models. Create a language-guided representation for subtle facial motion
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, data analysis, and dissemination of research findings. The project combines perspectives from systemic innovation, integrated care, and health economics. The PhD student will collaborate closely with
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candidates: Education Ph.D. in Chemistry, Physics, Engineering, or similar domain. For information on certificates and diplomas issued abroad, please see Degree equivalency Experience Recent* experience in
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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4th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for PhD Candidate in Modelling and Executing Cascading Effects
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Employment 1.0 FTE Gross monthly salary € 3,204 - € 4,051 Required background Research University Degree Organizational unit Faculty of Social Sciences Application deadline 20 October 2026 Apply now
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 9 days ago
research experience in RNA biology and/or high-throughput sequencing technologies would be a strong advantage Familiarity with programming languages such as R or Python for data analysis is beneficial
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sponsorship for this role. Candidate requirements Applicants should hold (or expect) a first or upper-second class UK honours degree, and ideally a masters degree, in computer science, data science, artificial