Sort by
Refine Your Search
-
Listed
-
Employer
- Umeå University
- University of Lund
- SciLifeLab
- Chalmers University of Technology
- Lunds universitet
- Nature Careers
- Swedish University of Agricultural Sciences
- Linköping University
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Göteborgs Universitet
- Karlstad University
- Karolinska Institutet (KI)
- Linnaeus University
- Lulea University of Technology
- Umeå universitet
- University of Gothenburg
- Faculty of Health and Society
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg
- Institutionen för kemi och molekylärbiologi
- Karlstads universitet
- Linneuniversitetet
- Lund University
- Malmö university
- Mälardalen University
- SciCross
- SciLifeLab / Uppsala University
- Sveriges Lantrbuksuniversitet
- The Faculty of Health and Society
- The Faculty of Technology and Society
- The Institute of Clinical Sciences
- Umeå universitet stipendiemodul
- University of Gothenburg, Department of Education, Communication and Learning
- Uppsala universitet
- Örebro University
- 26 more »
- « less
-
Field
-
. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all levels, from molecular structures and cellular processes to human
-
facility. Good understanding of how pre-analytical and laboratory methods can affect data quality. Quality control and analysis of large-scale proteomics data. Experience working in an accredited environment
-
statistical programming and statistical analysis experience in data management, and working with register data or large micro-level longitudinal databases experience in working with health inequalities and/or
-
learning, using large-scale Neuropixels recordings combined with computational modelling. The project is embedded in a national network of data-driven life science research spanning eleven Swedish
-
participate in clinical work and teaching; contribute to the strategic development of the department, faculty and SLU; communicate research findings and other relevant information to society at large; perform
-
named in a way that clearly shows their content. Applications must be received by: 2026-05-21 Information for International Applicants Choosing a career in a foreign country is a big step. Thus, to give
-
this work, software will be developed to efficiently handle large volumes of heterogeneous data, from ingestion to processing and output of results. The software will be built within a Linux-based high
-
energy models (UBEM). The work also involves using several large language models (LLM) to manage workflows, process data, develop user and building archetypes, conduct simulations, and analyze results and
-
life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
-
written and oral communication. Documented quantitative skills are required. Experience in statistical programming, data management, and working with register data or large micro-level longitudinal