61 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Technical University of Denmark
Sort by
Refine Your Search
-
colleagues that are very strong in AI and computational modelling of energy materials, and we are building labs for autonomous materials development. Large facilities, such as synchrotron and neutron
-
. Further information Further information may be obtained from Professor Peter Vilhelm Skov, e-mail: pvsk@aqua.dtu.dk You can read more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about
-
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
-
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
-
. The Bioinformatics section has its main research and teaching activities in areas related to bio-medical and bio-technological informatics, immunoinformatics, cancer bioinformatics, metagenomics, phylogeny
-
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
-
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
-
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
-
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
-
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