17 data-"https:"-"https:"-"https:"-"https:" PhD scholarships at University of Southern Denmark
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Computer Science, fully funded by a major research project from the Novo Nordisk Foundation (NNF). The successful applicants would become part of the Data Science & Statistics section at the department
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comprehensive training in translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong
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to James McPherson (mcpherson@sdu.dk ). Application, salary etc. Further information about the PhD programme at the Faculty of Science can be found at the University’s website. The successful applicant will
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group as part of the diverse and international Nordcee section at the department, and will work closely together with associates from all RECLESS institutions. For more information about the position
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artificial intelligence. The Software Engineering section encompasses a range of research areas in software development, data analytics, and intelligent systems, and it plays a key role in several ongoing
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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of entrepreneurship, sociology, and rural development in an international and interdisciplinary research project. As our new PhD student, you will play a central role in: Collecting qualitative data from new and
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. For more information about the department, please visit the website. Be part of a large-scale international project We are looking for a talented and motivated PhD student for the EPHEMERAL research project
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Master's program in Environmental Engineering and is involved in both the Bachelor's and Master's programs in Energy Technology and Integrated Design and Sustainable Product Development. For more information
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), the platform will provide neutral information services, online hearing tests, aftercare tools, and follow-up recommendations in an integrated, user-friendly manner. OSCAR includes the following project partners