90 system-science-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Norway
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opportunities? Do you have a background in electrical power engineering, operations research, or a related field, and are you interested in energy systems and markets? As a PhD candidate with us, you will work
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education. You must meet the requirements for admission to the faculty's Doctoral Programme in Engineering The appointment is to be made in accordance with NTNUs guidelines for recruitment positions
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spatial population genetics and demography is available at the Department of Biology, Norwegian University of Science & Technology (NTNU) under the supervision of Associate Professor Scott Burgess . NTNU’s
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and to finding solutions for the next generation’s communication technology, energy utilization and development of materials. The Department of Physics is one of seven departments in the Faculty
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studies, science and technology studies, information systems, sociology, political science, law, public administration, or related interdisciplinary fields. An interest in outsider innovation, open-source
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computer science within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. As an employee at NTNU, it is important
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Modelling of Biomaterials Apply for this job See advertisement About the position Biomaterial Science (BIOMAT) / Institute of Clinical Dentistry, Faculty of Dentistry, is offering a PhD position focused on
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technology, contributing to AI systems that are safe, transparent and accountable? The Department of ICT and Natural Sciences at NTNU in Ålesund has a vacancy for a PhD Candidate in trustworthy agentic
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There is a vacancy for a PhD Research Fellow in Digital tools and biomarkers for the diagnosis and monitoring of patients with adrenal tumors (DC6) at the University of Athens & Evangelismos General
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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