80 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Fellowship positions at University of Jena Cluster of Excellence "Balance of the Microverse" in Norway
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associated with research group of Professor Abhik Ghosh (https://en.uit.no/project/softmatter ). The Ghosh group is renowned for its fundamental discoveries on corroles and is currently exploring a variety of
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. They provide short-term (up to 10 days) forecast of the Arctic ocean, sea ice and biogeochemical state to the Copernicus Marine Services (https://marine.copernicus.eu ). The PhD study will be linked
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the outcome of infective endocarditis (IE) by improved pathophysiological understanding, diagnostics and treatment. Infectious endocarditis (IE) is an infection of intracardiac structures. Globally, the annual
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in the research group Marine Structures Mentoring students, helping them with their research projects, and advising on methodology and academic writing Participate in relevant SFI Seaweed activities
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self-motivation that possesses the ability to work in a structured manner. The candidate should also have high organizational skills and ability to perform clean work in the lab and leadership skills
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other things: Are structured, meticulous, and preferably creative Have a passion for quality and quality improvement Work independently Possess strong collaborative skills Are capable of effective
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here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore
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be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge . It is
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of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where
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machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where clustering analyses often form the basis for biological