Sort by
Refine Your Search
-
of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
-
resistance and microbiomes, statistical analysis of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work
-
fieldwork in Norwegian glacier environments to collect and validate site-specific data. Contribute to international research visits to ETH Zurich, MIT Media Lab, and NMBU. Publish in high-impact peer-reviewed
-
). Contribute to policy recommendations, design briefs, and dissemination materials. Participate in international travels and consortium meetings. Publish in high-impact peer-reviewed journals and present
-
Health Data As A Service For AI Development What we offer: A high-quality research environment. The prospects to build an international research career within a European collaborative network. A working
-
, facilitating numerous future studies. What we offer: A high-quality research environment, where experienced supervisors and colleagues working on multiple research projects on data analytics can support your
-
, possessing expertise in cell signalling, cell and tissue imaging and analysis, with experience in 'omics' technologies and bioinformatics approaches. Essential qualifications High level of motivation, capacity
-
period. We will offer you: The opportunity to work in an international multidisciplinary research community High-quality research infrastructure and support Occupational health services and other
-
on the stage of your doctoral thesis and will include a six-month trial period. We will offer you: The opportunity to work in an international multidisciplinary research community High-quality research
-
student position in your field, with a special focus on high-quality computation and data management This particular call emphasizes general AI skills and interest to take part in MLOps, including (but not