Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- University of Lund
- Swedish University of Agricultural Sciences
- Lunds universitet
- Nature Careers
- SciLifeLab
- Karolinska Institutet (KI)
- Linköping University
- Sveriges Lantbruksuniversitet
- Uppsala universitet
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Luleå University of Technology
- Umeå University
- Umeå universitet stipendiemodul
- Jönköping University
- Lulea University of Technology
- Umeå universitet
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Karlstad University
- Linnaeus University
- Lund University
- Mälardalen University
- SLU
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 21 more »
- « less
-
Field
-
the last three years prior to the application deadline. Experience in some of the following areas is meritorious: AI and machine learning; convex analysis; functional analysis; mathematical statistics
-
, engineering, neuropsychology, or a related field Strong skills in statistical analysis, programming using Python, MATLAB, R, or similar Strong quantitative or computational background Experience with
-
industry at both national and international levels, with applications in the transport and manufacturing sectors. Work tasks mainly consist of research, data collection and analysis, writing scientific
-
quantitative and semi-quantitative chemical analysis in relevant case studies; (iv) apply the framework using results from the case studies and existing monitoring data and evaluate the effectiveness; (v
-
solution-processible emitters and with the fabrication and analysis of light-emission devices, such as OLEDs or LECs. Applications are accepted until the deadline on February 28th 2026. The starting date is
-
ovarian cancer and accompanying biomarkers for guiding personalized therapy. Work duties The main duty is to conduct research within the subject area, including experimental work, data analysis
-
analysis, including approaches such as GWAS, RNA-seq, or pan-genome analysis. Experience with fungal systems or biocontrol research is an advantage, but not a requirement. Excellent communication skills in
-
. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
-
and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
-
impacts through life-cycle analysis (LCA) and the evaluation of process sustainability within a circular economy framework. This recruitment is connected to WISE (https://wise-materials.org/ ), funded by