Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Lulea University of Technology
- SciLifeLab
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköpings universitet
- Lunds universitet
- Umeå universitet
- University of Borås
- 2 more »
- « less
-
Field
-
science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
-
Stage Researcher (R1) Application Deadline 5 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
-
graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
-
of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
-
and the national DDLS program. You can read about the workplace here: https://liu.se/en/organisation/liu/ifm https://www.scilifelab.se/data-driven/ https://www.scilifelab.se/units/cryo-em/ https
-
insights and software artifacts advancing the state of the art in quantum program verification. Duties The doctoral student will primarily devote their time to doctoral education. Other departmental duties
-
17 Mar 2026 Job Information Organisation/Company Linköping University Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 13 Apr 2026 - 12:00 (UTC
-
generation and domain decomposition and/or approximation is ever-present for these problems. Aspects of high performance computing (HPC) and open source software development is an aspect of the employment. In
-
Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
-
, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy