13 postdoctoral-biomedical-signal-processing PhD positions at University of Copenhagen
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to apply. The position requires solid previous postdoctoral work experience from an established research laboratory. A solution-oriented, organisational and positive mindset is required. The ability to work
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research group affiliated with both the Department of Clinical Physiology and Nuclear Medicine at Rigshospitalet and the Department of Biomedical Sciences at the University of Copenhagen, Denmark. CMI aims
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project will be conducted in close collaboration with the Cardiac Physiology Group at the Department of Biomedical Sciences at the University of Copenhagen. This group is specialized in large animal models
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2) and ensures a smooth transition to partners for later stages of development. By connecting science, innovation, clinical trials, regulatory processes, and product development, NIVI aims
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the understanding and chemical characterization of advanced bio-oils derived from lignocellulosic biomass and municipal solid waste. This research is critical for the commercialization of bio-oil upgrading processes
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currently (2024) DKK 6.820 before tax. When you have obtained the MSc degree, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment
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, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment and payment will be according to the agreement between the Ministry of
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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new biological phenomenon, the formation of biomolecular condensates by liquid-liquid phase separation (LLPS), and how this emerging field can lead to entirely novel concepts to treat brain diseases
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications