Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- Linköping University
- Sveriges Lantbruksuniversitet
- KTH Royal Institute of Technology
- Uppsala universitet
- Nature Careers
- SciLifeLab
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Luleå University of Technology
- Lulea University of Technology
- Stockholms universitet
- Umeå University
- Umeå universitet
- University of Lund
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Jönköping University
- Karlstad University
- Linnaeus University
- Mälardalen University
- SLU
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Örebro University
- 21 more »
- « less
-
Field
-
water. The work is carried out by building optimization models and collecting data according to principles of open science. The analyses include sensitivity analysis, scenario building and analysis, and
-
integrates computational analysis of immune receptor sequencing data, machine learning approaches for TCR prediction, and translational collaboration with clinical and laboratory teams. The successful
-
working at the interface between experimental and computational biology. Excellent skills in data analysis and programming are essential. You should be creative, self-motivated, and passionate about
-
, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
-
quantitative and population genetics; good knowledge and practical skills in genetic and genomic analysis (both, marker data and sequence data), phenology and plant pathology; a sound understanding of
-
Additional Information Work Location(s) Number of offers available1Company/InstituteUmeå universitet stipendiemodulCountrySwedenCityUmeåGeofield Contact City Umeå Website https://www.umu.se STATUS: EXPIRED X
-
-wavelength excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis
-
Characterization of precursor materials, including chemical, morphological, and electrochemical analyses, calcination, and performance testing in lithium-ion battery cells Data analysis and dissemination of research
-
structure refinement. Experience working at large-scale research facilities is required. You have strong data analysis skills and experience handling complex experimental datasets. Preferred qualifications A
-
22 Apr 2026 Job Information Organisation/Company Sveriges Lantbruksuniversitet Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Application Deadline 18 May 2026 - 12