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for scientific and professional career growth within an interdisciplinary research environment. Support from experienced colleagues, active knowledge sharing, and mentoring within the team. An open, respectful
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scientific publications, involvement in the assessment and supervision of students, involvement in teaching Your profile: Completed subject-related Master's, Magister or Diplom degree programme Sound knowledge
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, knowledge, beliefs, abilities, etc. The project will be conducted within the Logic and Artificial Intelligence (LAI) research group (https://www4.uib.no/en/research/research-groups/research-group-for-logics
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multidisciplinary team Basic knowledge of detector systems for particle physics Basic programming skills, e.g., python, Matlab or similar languages Fluent spoken and written English Proficiency of the German language
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profile: Master’s degree and expertise in the physics of complex systems, medical physics or a related field Curious, open-minded, able to work in an international multidisciplinary team Basic knowledge
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together with insights and learning tools, to enhance learning for the farmers. In this role you focus on developing such tools for data collection and reporting back to the farmers, using your knowledge and
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strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz
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with comparative investigations in Arctic Ice Regions - SPP1158), we aim to close these knowledge gaps using a data-mining approach. To do so, we will use in house as well as previously published 16S
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Are you motivated to take a step towards a doctorate and open
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. The candidate should have documented training and experience using social science methods (qualitative and/or quantitative). Knowledge of theory of research integrity and philosophy of science is preferable. What