23 requirements-engineering-"https:"-"https:"-"https:" Fellowship positions at University of Bergen
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15.07.2026. It is a condition of employment that the master's degree has been awarded. Experience from working in a molecular biology lab is a requirement A master’s (or similar) thesis involving molecular
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qualities: Requirements: Applicants must hold a master's degree or equivalent education in physics or another relevant discipline. A master’s degree in acoustics, marine measurement technology, or signal
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important to increase the resolution of tomographic models as this should give better insights into the Earth’s dynamics and history. Improving tomographic models requires innovative data processing and
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and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you satisfy the enrolment requirements
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trajectory will also count when evaluating the candidates. Special requirements for the position The University of Bergen is subjected to the regulation for export control system. The regulation will be
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oral English skills (cf. English language requirements for PhD admission) Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when
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additional collaborators including Prof. Alexander Babanin (University of Melbourne, Australia), will form a team of supervisors for the PhD fellow. The research will involve running customized numerical
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to the refinement of micro-analytical stable isotope approaches and other system developments at FARLAB (done as a collaborative effort in the group with help of engineers and technicians). Preparing samples
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NMR-techniques) is a requirement. Experience from multi step synthesis is an advantage. Experience from organometallic reactions is an advantage. Experience from conducting synthesis under dry and inert
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-vegetation interactions. Depending on the chosen topic, the research may involve advanced statistical and diagnostic analysis, numerical experimentation with climate and prediction models, and developing