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, and intelligent decision-making across distributed manufacturing networks. Specifically, the work will include: Development of a digital twin for a manufacturing production system. Development
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-supervising PhD and MSc students working in the project Contributing to new research ideas and (co)-applying for grants Depending on interests and expertise, some teaching on nutritional physiology, microbiome
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to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist
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defined by the selected job title. Your experience and ambitions We welcome candidates with a degree in physics, materials science, chemistry or engineering, who are passionate about data science and
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topics. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine
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bioinformatics Communicating the results in scientific publications and conference presentation Co-supervising PhD and MSc students working in the project Contributing to new research ideas and (co)-applying
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Global mm-VLBI Array . You will join a research group that has several PhD students and postdocs.There are also many international collaborators, and an excellent possibility to network and participate in
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your application and look forward to welcome you to our open stimulating research environment. Requirements Candidates must hold an internationally recognized PhD degree in quantum physics research
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selection and sexual strategy and engages explicitly with the defining aspects of sexes and sexual selection. Who we are looking for We expect the candidates to have: Mathematical modelling skills and high
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier