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: The preferred candidate for this position must be able to analyse data from fisheries and/or aquaculture and prove experience from designing, collecting, modelling and publishing such data. Research experience in
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motivation and personal suitability for the position. A trial lecture may also be held. General information The appointment is made in accordance with State regulations and guidelines at UiT. At our website
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also offers PhD programmes in linguistics, cultural/literary studies, art history, as well as media and documentation studies. The Center of Language, Brain & Learning (C-LaBL) The advertised position
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for this position must be able to analyse data from fisheries and/or aquaculture and prove experience from designing, collecting, modelling and publishing such data. Research experience in Norwegian or Nordic
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://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced techniques such as signal processing and dynamic systems modeling, and
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, three PhD students, seven Professor II positions (20%), and an internationally renowned Scientific Advisory Board. The group members are involved in a number of research projects both locally and
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applies the principle of public access to information when recruiting staff for academic positions. Information about applicants may be made public even if the applicant has asked not to be named
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? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position There is a vacancy for a PhD Research Fellow in borehole geophysics
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
advertisement About the position Position as PhD Research Fellow in Chemistry with focus on Experiments in Chemical Kinetics and Heterogeneous Catalysis is available at the Centre for Materials Science and
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well as on development of plat-forms for running and evaluating prediction models. The PhD candidate will develop methods for integrating heterogeneous data sources—such as climate, environmental, and health surveillance