74 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Technical University of Denmark in Denmark
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amino acids, e.g. lysine, using fermentation technology. For this purpose, microorganisms that efficiently secrete amino acids will be developed. The vision is that microorganisms, in the future, can be
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in working with environmental sampling at Danish utilities. Applicants can have a background in chemistry, environmental sciences and engineering, or related fields, who have practical experience from
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fundamental biological questions related to microbial biofertilizers, aiming to support their efficient engineering and application. In this role, you will help develop and implement new technologies critical
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/rongling-li ). You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at
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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
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are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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for experimental research within molecular biology, strain engineering, high throughput screening and fermentation at different scales. Responsibilities and qualifications Focus is on genetically engineered bacteria
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conferences, and actively participate in knowledge exchange across disciplines. As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Materials Science and Engineering
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience
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will benefit from Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge