85 parallel-computing-"Foundation-for-Research-and-Technology" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
-
The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between
-
and master’s theses in the Service Systems Design master’s programme. You will also contribute to curriculum development and to training activities that strengthen students’ employability. Your work
-
, MS acquisition methods and computational proteomics strategies. You will be expected to contribute to and support the ongoing research projects in the group on an ad hoc basis when needed. Your tasks
-
The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and
-
Department of Clinical Medicine The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and conducts research within the clinical specialties
-
Postdoc in Digital Education and Empowerment for Patients with Atrial Fibrillation and Comorbidities
compared with usual care. The postdoc will coordinate and contribute to the co-design process, prototype and program development, feasibility test and evaluation of the effectiveness of the AF-EMPOWER
-
validate these computational models, the group has engineered automated, high-precision experimental test benches. You will join an international academic environment where collaboration across topics and
-
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Take the next step in your research career
-
benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance