98 information-science-"https:" "https:" "https:" "https:" Postdoctoral positions in Denmark
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close to 50-50% gender balance. Our working language is English. We are highly interdisciplinary and include experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine with
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working with local stakeholders High level of self-motivation. Who we are The Sensor Laboratory at the Department of Biology is internationally recognized for the development and application of advanced
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of Biology (Department of Biology - Aarhus University ) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known for its research contribution
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proof-of-concept of the value of such dynamic collaboration in a System of Systems setting is included with a case centred around Aarhus Festuge. Industrially this new technology is very valuable in order
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have a PhD in synthetic chemistry or similar. The candidate is required to have a strong background in organic synthesis and transition metal catalysis. The candidate must be familiar with organometallic
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Biology and Genetics (MBG) at Aarhus University is a vibrant research and teaching environment spanning molecular biology from fundamental mechanisms to application-oriented biology, organized into several
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The Brummerstedt Iversen group at Department of Chemistry, Aarhus University is seeking candidates for two post-doctoral positions within the fields of ultrafast crystallography and single crystal
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and with extrinsic toughening mechanisms in laminated composites, including fibre bridging and related phenomena. The overall aim is to develop models and tools that provide deeper insight into how
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. Department of Chemistry The Department of Chemistry at Aarhus University is a leading European chemistry department with broad research programmes and a highly international environment. CENSEMAT is hosted
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). Implementing and applying mass spectrometry-based techniques (metabolomics, proteomics, chemical biology) to identify and characterize metabolic pathways and targets. Data analysis and integration using R and/or