96 parallel-processing-bioinformatics-"Prof" PhD positions at Technical University of Denmark
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holidays are not considered. Selection process The selection and recruitment process will be in accordance with the European Charter and Code of Conduct for the Recruitment of Researchers. The recruitment
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to a two-year master's degree in a field related to one or more of the general areas of Computer Science, Computer Engineering, Telecommunication, Electronics. Approval and Enrolment The scholarship
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information may be obtained from Prof. Shfaqat Abbas Khan (abbas@space.dtu.dk ), Dr. Cheng Gong (gong.cheng@dartmouth.edu ) and Prof. Mathieu Morlighem (mathieu.morlighem@dartmouth.edu ). You can read more
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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the interfacial phenomena between water contaminants and adsorbent materials. As a member of the “Nano-Micro-Macro. Structure in Materials” research group, led by Prof. Joerg Jinschek, you will push the boundaries
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academia and industry. You will be involved in the “DTU Alliance” project in collaboration with Prof. Anna Scaglione at Cornell University, with the opportunity to undertake a research stay of 5–9 months
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equivalent) in Allergology, Immunology, Bioinformatics, Biochemistry, Biomedical, Protein Chemistry, Molecular Biology or a related field as well as: Solid understanding of immunology and/or food allergy, and
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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved
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, synthesis, and characterization of silicone-based foams for innovative healthcare applications. Key tasks will include tailoring the chemistry and processing of silicone polymers to create controlled foam
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models