42 data-"https:"-"https:"-"https:"-"https:"-"UNIV" research jobs at Nature Careers in Denmark
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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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possible. Job description You will help with the following tasks: Ammonia cracking experiments Analysis of the gas streams Data Visualization Business Development and finding the place on the market for
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Aarhus University with related departments. Contact information For further information, please contact: Prof. Anders Bentien, bentien@bce.au.dk, +45 30 36 95 15 Deadline Applications must be received
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and pl...
employment The place of work is Gustav Wieds Vej 10, 8000 Aarhus C, and the area of employment is Aarhus University with affiliated institutions. Contact info Applicants seeking further information are invited
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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
research is at the cutting edge of Human-Computer Interaction (HCI), personal fabrication, and physical user interfaces. As a research assistant, you will support our research team on implementing a novel
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. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced methods to handle
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project activities. Key responsibilities include: Investigation into the GEUS sediment archive to extract information on the properties of subglacial sediments deposited by past ice streams. Analysis
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: A Ph.D. in biophysics An Msc in physics. Extensive research experience in soft matter and biophysics. Analytical and programming skills for data analysis and ai-based analysis. Good interpersonal and
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer