Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- University of Lund
- Lunds universitet
- Swedish University of Agricultural Sciences
- Karolinska Institutet (KI)
- SciLifeLab
- Blekinge Institute of Technology
- Linköping University
- Mälardalen University
- Umeå universitet stipendiemodul
- Luleå University of Technology
- The Swedish University of Agricultural Sciences
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Karlstad University
- Lulea University of Technology
- Stockholm University
- Umeå universitet
- University of Borås
- Uppsala universitet
- universitypositions
- 13 more »
- « less
-
Field
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
30 Aug 2026 Job Information Organisation/Company Umeå universitet stipendiemodul Department Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics Research Field
-
12 Sep 2026 Job Information Organisation/Company Umeå universitet stipendiemodul Department Umeå School of Business, Economics and Statistics Research Field Mathematics » Statistics Researcher
-
5 Sep 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Agricultural sciences » Other Biological sciences » Nutritional sciences Chemistry » Analytical
-
12 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Analytical chemistry Chemistry » Inorganic chemistry Chemistry » Other Engineering
-
geoinformatics and spatial data science, including demonstrated knowledge of GIS, spatial analysis, spatial modelling, and GeoAI. Experience and expertise in WebGIS development, familiar with the core technologies
-
for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
-
. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description
-
Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
-
with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium