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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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responsibilities can be expected, mainly involving laboratory courses. Qualifications You should have a PhD degree in chemistry with a strong theoretical and experimental background in organic chemistry and
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experiments; The applicant’s scientific record (publications in top journals within modelling and experimental and cognitive psychology), academic breadth and depth, rigor, thoroughness, and accuracy, as
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
, experimental design, experimental implementation and a critical approach to data analysis. The applicant should have relevant original first author papers or submitted manuscripts in recognized and relevant
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equivalent), preferably within civil and environmental engineering, statistics, industrial ecology or data science with a passion for sustainability. We welcome candidates with postdoctoral experience
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with a background in Music Cognition, Psychology, Music Technology, or Musical Data Science, ideally with a specialisation in experimental concert research and/or collection and analysis of continuous
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to this, we expect you to run scientific experiments of your own, both in order to investigate the requirements from a researcher's point of view while also helping grow your own portfolio of state-of-the-art
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areas: Experience with culturing fungi and in particular basidiomycetes Using fungi biomass for food applications MALDI TOF biotyper Microbiology Work with DNA and RNA analysis Phenotype screening Enzyme
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-reviewed publications Prior experience with animal experimental techniques, especially small animal surgery, neuroimaging, biochemical techniques such as western blotting, PCR, and immunohistochemistry
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related field. Strong software development and programming skills, with experience in designing and implementing complex software systems. Research experience in artificial intelligence and/or machine