57 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" uni jobs at Technical University of Denmark
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for teaching (1-2 pages) Vision for research (2-3 pages) # CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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stakeholders, we can offer you a position in a progressive and international environment, where we work to support High Performance Computing (HPC) in Danish research. About the job In DeiC’s HPC department, we
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for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation
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). Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Dr. Dimitar
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, please contact Dr, Dimitar Karakashev on 45 2569 8421. You can read more about DTU Chemical and Biochemical Engineering at www.kt.dtu.dk . Applications received after the deadline will not be considered
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computing- and cloud infrastructure – enabling research, innovation, and secure data-driven services across society. About DTU Computerome DTU Computerome is a national High-Performance Computing (HPC) and
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program Identifying and co-developing AI-based tools to improve our processes and automate workflows Responsible for executing the Annual Management Cycle processes (Strategic Plan; Budget & Action Plan
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their research. We do this through deep engagement, coaching and workshops in our Startup Program, funding and mentor programs, and by providing a shoulder to rely on during rough times. Now, we are looking for a
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Job Description DTU Talent Partner is a program for larger engineering corporations in Denmark. Each partner can participate in 4+ events annually focused on Employer Branding, Recruitment, and
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development to industry-facing translational programmes. Our goal is to ensure reproducible, scalable and efficient protein production workflows that enable downstream structural, biophysical and functional