Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
AIPhD in computational modelling RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability All early-stage researchers recruited
-
to the project are: PhD Student Position in Generative AI RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability . WISE, funded by the Knut
-
of neural networks and other symbolic techniques with applications ranging from mathematics to cognitive science, and often in cross-disciplinary collaborations. In this project the PhD student will work
-
of Building Design comprises research and teaching on the planning, design, production, use, and management of buildings, with a focus on the relationship between operations, facilities, building tectonics
-
We are looking for a PhD student in Medical Science with an interest in molecular and structural virology. The position at the Department of Medical Biochemistry and Biophysics at Umeå University is
-
wastewater systems. Research environment The project is based at the Division of Water Environment Technology (WET), within the Department of Architecture and Civil Engineering. You will be part of
-
-research-school/ . The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Project description At the Department of Biochemistry and Biophysics
-
- and wet-lab methods. We combine cutting-edge basic science with strong ties to the clinic and aim to directly influence future clinical practice. The doctoral student project and the duties
-
or production engineering. You will need strong written and verbal communication skills in English. Applicants are expected to demonstrate good potential within research including project management and education
-
year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS