148 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" positions at Technical University of Denmark in Denmark
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professional experience At least 5 years of hands-on experience as an entrepreneur or in building and operating digital products and technology startups, ideally within fintech, SaaS, data platforms, or AI
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plant operation. The job We are looking for an academic employee, who has an interest in and very much like experience with laboratory work, including data collection and analysis, literature research
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the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Matteo Fumagalli
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career paths at DTU here . Further information Further information may be obtained from Professor Rasmus Bjørk, +45 46 77 58 95, rabj@dtu.dk . You can read more about DTU Energy at www.energy.dtu.dk
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Determine T cell phenotype and transcriptomic characteristics Integrate T cell data with other adaptive immune parameters. Making high quality peptide-MHC reagents to explore T cell recognition How can we
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
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grant from the European Research Council. The primary challenge in powering AI chips and future data center systems is enhancing the efficiency of voltage regulator modules (VRMs) to meet their
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master's degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information
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join us. At DTU Chemical and Biochemical Engineering, you will operate at the forefront of computational modelling, integrating high‑fidelity CFD with advanced compartment models and modern data‑driven