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at [email protected] Start: December 1, 2026 Duration: 3 years as PhD fellow Profile We are looking for a highly motivated candidate with a strong interest in human genetics, computational biology, and
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of Biostatistics and Health Informatics in the School of Mental Health and Psychological Sciences at the Institute of Psychiatry, Psychology and Neuroscience. The Department has been a major force in the
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academic articles based on findings for submission to top sociology and political science journals. Present findings at international conferences (e.g., SASE, CES, EPSA, ESA). The project includes 1½ month
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
required. Place of Work The place of work is Department of Computer Science, Aarhus University - Åbogade 34, 8200 Aarhus N. DK. Contact information For further information please contact Associate Professor
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The Section for Structures and Safety at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years
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, computer science, computational biology, or similar fields. The applicant is expected to have demonstrated experience working with state-of-the-art deep learning approaches for detection and/or classification
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with the PI and project affiliates, including interdisciplinary research bridging social and natural science. The successful applicant will be expected to: Both assist in ongoing research and conduct
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
of Electrical and Computer Engineering, and industrial partners involved in the development of the DREAM platform. Job assignments The candidate will become part of a multidisciplinary team of scientists
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at the Doctoral School of Social Sciences and Humanities in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical