66 parallel-processing-bioinformatics Postdoctoral research jobs at Nature Careers in Denmark
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analysis and bioinformatic methods Experience in enzyme immobilization Expertise within environmental science research and/or PFAS analysis Experience in bioprocess engineering Eager to work with master and
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. The research environment is cross-disciplinary with PIs specialized in bioinformatics, biochemistry, microbiology, molecular biology and genetics. You will be working in a leading research group in legume
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written English Demonstrated expertise in one or more of the following areas: genome integrity, stem cell culture, quantitative and live-cell microscopy, or bioinformatics We offer Two-year postdoc position
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University, Department of Biological and Chemical Engineering (AU-BCE) encompasses some 200+ employees and five educations. Position is embedded in the section for Process & Materials Engineering, where
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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26306659 Simon.wall@phys.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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Are you passionate about pushing the frontier of catalysis science? The Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark (DTU) is offering mutiple Postdoc
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We invite applications for a 24-month postdoctoral scientist position to join our team within the project ReFuel: Harnessing archaeal processes to capture carbon dioxide into alkanes as renewable
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
various microbial platforms, ii) to probe via genetic manipulations the dynamics and limitations of carbon and electron flux and iii) to identify pattern of coordination of major cellular processes. A
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum