140 parallel-programming-"Multiple" positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Job Description Are you driven to shape global health policy and lead impactful international development programs? Do you have a passion for advancing antimicrobial resistance (AMR) solutions and a
-
Job Description Department of Civil and Mechanical Engineering, Section of Solid Mechanics at the Technical University of Denmark seeks a skilled consultant for programming of exa-scale fluid
-
to plan and carry out complicated tasks and to pursue parallel paths able to accommodate strict time boundaries imposed by the overall project goals excellent at communicating and reporting your work in
-
part of a team, be happy to share thoughts and receive feedback from other team members, and be able to carry out parallel tasks In addition, it is preferable that you: Have experience with processing
-
conducts cutting-edge research in chemical and biochemical engineering, with a strong focus on sustainable technologies. As part of our commitment to addressing climate challenges, we operate multiple carbon
-
explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
-
part of the Perception and Cognition for Autonomous Systems Group (PCAS), and you will find yourself among multiple PhD students and senior researchers working on multiple aspects of autonomous robotics
-
proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
-
and competences across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific, academic, and industrial relevance Contribute to and
-
development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and