Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Uppsala universitet
- SciLifeLab
- Lunds universitet
- Stockholms universitet
- University of Lund
- Lulea University of Technology
- Mid Sweden University
- Sveriges Lantbruksuniversitet
- Luleå tekniska universitet
- Umeå universitet
- Chalmers University of Technology
- Karolinska Institutet, doctoral positions
- University of Borås
- Jönköping University
- Karlstad University
- Linköpings universitet
- Nature Careers
- Blekinge Institute of Technology
- Institutionen för molekylära vetenskaper
- KTH Royal Institute of Technology
- Luleå University of Technology
- Luleå university of technology
- Mittuniversitetet
- Mälardalen University
- 17 more »
- « less
-
Field
-
epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
-
10 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Mathematics
-
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
-
Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
-
a modern view of the statistical subject, where probabilistic models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view of machine learning
-
2 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Technology » Computer
-
precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
-
media and internet infrastructure computing cultures and materialities as heritage values and economies in algorithmic/data cultures social and cultural perspectives on dismantling communication networks
-
is characterized by a modern view of the statistical subject, where probabilistic models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view
-
probability, combinatorial optimisation, discrete geometry, and computational combinatorics. The main supervisor for this project will be Dr. Maryam Sharifzadeh, and the successful applicant will also have