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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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Applications are invited for a part-time 2-year postdoc position in the field of protein engineering at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. Expected start
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Biotechnology Research Institute for the Green Transiation (BRIGHT) is developing novel methods to engineer proteins
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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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We are looking for a highly motivated postdoctoral researcher to join an interdisciplinary research project on enzymatic PFAS degradation at the Department of Biological & Chemical Engineering of
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
of the research process. Individualized training, supervision, and mentorship tailored to your development needs. Opportunities to participate in national and international conferences, workshops, and relevant
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transdisciplinary and participatory research methods to support co-creation processes across the project Design and facilitate Science Policy Practice Forum (SPPF) activities, including stakeholder workshops and
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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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degree in Physics, Chemistry, Chemical Engineering or Materials Science and a profound experience/insight in catalysis. Here it is absolute mandatory that the candidate has extensive experience with
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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