209 parallel-computing "Institute for Advanced Studies" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
The Department of Computer Science, Aarhus University invites applications for postdocs. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum Fonden we have several
-
functioning or ecological stability; experience with remote-sensing products and cloud/geospatial computing is an advantage; a publication record that is competitive for the candidate’s career stage
-
)electrochemistry, and interest in industrial applications and cooperation to join the Mads Clausen Institute (MCI) at the University of Southern Denmark (SDU) in Sønderborg, Denmark. The position is for two
-
criteria for the safe reuse of treated lake sediments as fertilizers or soil improvers Publishing results in high-quality international peer-reviewed journals and presenting findings at scientific
-
Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position “Human AI Collaboration
-
Work at the interface of environmental chemistry, plant science, and circular nutrient management Develop and apply advanced analytical approaches for analysis of heavy metals and PFAS Collaborate
-
computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment Proficient in written and spoken English About us The Center for Quantitative
-
, laboratories, equipment, and high-performing computing clusters. We offer A welcoming and collaborative environment emphasizing teamwork, professionalism, equality, and work-life balance Mentoring for
-
products and cloud/geospatial computing is an advantage; a publication record that is competitive for the candidate’s career stage, along with the ability to present findings clearly through scientific
-
-based surrogate models. Experience with high-performance and parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two