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distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously been employed in a qualifying post (e.g
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, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have
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programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow position is for a period of three years and full time studies with the possibility
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infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously been employed
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Environment at the Norwegian College of Fishery Science (NCFS), with an appointment for a duration of four years. The position is for a period of four years. The nominal length of the PhD programme is three
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programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a
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) and micro-computed-tomography (μ-CT) scanning as well as stable isotope Ratio Mass Spectrometry (IRMS). The candidate will be supervised by an international team of researchers from Norway (University
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spectrometry (LA-ICP-MS), Raman spectroscopy, time of flight secondary ion mass spectrometry (ToF-SIMS), electron microscopy (EM) and micro-computed-tomography (μ-CT) scanning as well as stable isotope Ratio
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. The NeSys laboratory has a leading role in the Data Services and Atlas Services of the EBRAINS Research Infrastructure - the European distributed research infrastructure for brain and brain-inspired research
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Services of the EBRAINS Research Infrastructure - the European distributed research infrastructure for brain and brain-inspired research (https://ebrains.eu ) and leads the Norwegian national node of EBRAINS