667 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" positions in Norway
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heritage tourism The supervisory team consists of Professor Christine Lundberg , Dr. Özgün Ozçakir , and Associate Professor. Kristina Lindström . The PhD Fellow is expected to be involved in Research (1.0
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experiences and long-term community benefits. The supervisory team consists of Professor Christine Lundberg, Dr Luc Alofs , and Associate Professor Kristina Lindström. The PhD Fellow is expected to be involved
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” (project period 01.04.2026–01.10.2029) and led by Dr. Andrius Popovas. The long-standing solar convective conundrum is the mismatch between convective flows inferred from helioseismology and flows predicted
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candidate will be supervised by Professor Stefan Jacobsen and Professor Tore Børvik at NTNU, in collaboration with Dr. Sumita Dey from the Norwegian Defence Estates Agency. About the project Durability
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further information The position is placed in government pay scale position code 1017 PhD Fellow, and is remunerated with a starting annual salary of NOK 550,800. Employment is conducted according
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located in the lab of Dr. Rasmus Iversen and will be available from May 2026. The research group focuses on B-cell biology - in particular in relation to autoimmune diseases (Lab for Autoimmunity and B-cell
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project coordinator for this KSP project and will be managed by Dr. Tor Inge Reigstad. Therefore, the PhD candidate will also benefit from strong scientific collaboration with SINTEF researchers associated
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at the Department of Immunology, Institute of Clinical Medicine, University of Oslo. The position will be located in the lab of Dr. Rasmus Iversen and will be available from May 2026. The research group focuses on B
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schooling, into higher education, and throughout the life course. The project position will be supervised by Professor Colin Green (Department of Economics ) and Dr. Jon Marius Vaag Iversen (NTNU
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an advantage if you have Interest in the mechanical behavior of materials. Experience with machine learning and/or programming/coding. Experience with finite element modeling from civil, mechanical, or marine