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Field
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will be carried out 50% of the time at the University of Borås and 50% at Mission 0 House in Gothenburg. Your qualifications We are seeking candidates with a PhD in textile technology, polymer technology
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employment (subject to release of funds) The Bundesanstalt für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry
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information is available on the project website (still under construction) and on the YouTube channel. Planning research project : MIXAP-EU began in October 2024. We have already established partnerships and
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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management. Specifically, the successful candidate will re-sequence tuna genomes to improve estimates of stock structure, reduce the proportion of individuals that cannot be assigned to population, and develop
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with a PhD in computer science, engineering, robotics, or a related field, evidenced by a strong publication record. Candidates should possess experience in robotics, drones, UAVs, multi-robot systems
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ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction of our work: Lauer et al. (2022): Metabolic
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applications. Your profile Applicants should hold a PhD in Immunology, Microbiology, Neuroscience, or similar. Essential Experience and an international track record in neuroscience, microbiology, or immunology
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About the role Applications are invited for a Postdoctoral Research Associate in Postdoctoral Research Associate in Mass Spectrometry and Structural Glycobiology to work under the supervision