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) , Department of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and
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Applications are invited for a 1-year post-doc position on modeling of two-phase flows for green hydrogen application at the Department of Mechanical and Production Engineering, Aarhus University
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in soil processes, plant physiology, plant traits, and species composition Strong data analysis skills, including proficiency in R or Python coding, and/or machine learning techniques Excellent writing
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. The impact of microglia during the progression of neuropathology is dictated by their subtype composition – as different subsets will lead to different functional outcomes. Microglia transcriptional
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Neuroscience to study how sleep deficiencies may impact neural development and transcriptomics in rodent models. The selected candidate will be hired at the University of Oslo and join a collaboration at the
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. The impact of microglia during the progression of neuropathology is dictated by their subtype composition – as different subsets will lead to different functional outcomes. Microglia transcriptional
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, consisting of (a) remanufacturing processes, (b) take-back systems, (c) design for disassembly and circularity, (d) business models, and (e) sustainability and circularity assessment. The project will analyse
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
in the target proteins. The postdoc will collect single molecule FRET data and by integration with existing atomic models establish trajectories for key conformational changes in the investigated
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Are you interested in protein O-GlcNAcylation in neuroscience and can you contribute to the development of modelling intellectual disability in Drosophila melanogaster ? Then the Daan van Aalten
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global