574 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" "Dip" positions in Norway
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Website https://karriere.norceresearch.no/en/jobs/7235739-phd-research-fellow-in-data-a… Requirements Research FieldMathematics » Applied mathematicsEducation LevelMaster Degree or equivalent Skills
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, the Hospital Pharmacies Enterprise in South-Eastern Norway and the Medicines Optimization Innovation Centre, Nord-Irland. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job
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. You will be expected to participate both in the activities of the Center for integrative neuroplasticity (CINPLA) and in the INTED center. For more information and how to apply: https://www.jobbnorge.no
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of the PhD project is to develop an effective control structure and real-time optimization scheme for a novel continuous bioprocess. The control and real-time optimization will then be validated in experiments
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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Experience or competence in heterologous production of enzymes is an advantage Teaching experience is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position is part of the RESPIRE project funded by the Research Council of Norway (https
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. Further information about the research groups can be found at: https://www.mn.uio.no/math/english/research/groups/algebra/index.html https://www.mn.uio.no/math/english/research/groups/geometry-topology
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10th April 2026 Languages English English English The Department of Geosciences (IGV) has a vacancy for a PhD Candidate within Rock Engineering for New Hydropower Plants - Design and Construction
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, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights