Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- University of Lund
- Lunds universitet
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- Nature Careers
- Lulea University of Technology
- Uppsala universitet
- Linköping University
- Karolinska Institutet (KI)
- Luleå tekniska universitet
- Sveriges Lantbruksuniversitet
- Linnaeus University
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- Karlstad University
- Örebro University
- Karolinska Institutet, doctoral positions
- Stockholms universitet
- University of Gothenburg
- Göteborgs Universitet
- Jönköping University
- Karlstads universitet
- Linköpings universitet
- Linneuniversitetet
- Linnéuniversitetet
- Luleå university of technology
- Mälardalen University
- Umeå universitet
- Umeå universitet stipendiemodul
- 21 more »
- « less
-
Field
-
registered in a database. Specimens will also be collected for later DNA-sequencing and molecular work. The work will be carried out within the framework of the research group “Population biology, micro- and
-
strategic raw material (CRM) deposits within Paleoproterozoic cover sequences that overlie an Archaean basement. Existing structural models for the cover rocks predict that crustal-scale fault and shear zone
-
, sequencing or metabarcoding Experience with bioinformatic or statistical analysis, for example in R. Documented experience with scientific writing, for example participation in a scientific publication or
-
must be submitted through the university’s recruitment system. Your application must include a cover letter explaining why you are interested in the position and how it aligns with your qualifications
-
framework, as well as extensive experience writing and publishing highimpact articles on EU forest and climate policy knowledge of forestry and LULUCF practices in multiple EU Member states. excellent
-
specialization. A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence
-
of the following tasks using R/Python/bash scripting, such as genome assembly, SNP calling from re-sequencing data or RNA-seq data, and visualisation of high dimension dataset. Solid understanding of genetic
-
specialization. A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence
-
where recent advances – such as within sequencing, AI, imaging, mass spectrometry, tomography and exposomics provide new opportunities. Main responsibilities Research and some teaching and supervision
-
, including single-cell RNA sequencing, spatial omics, and spectral flow cytometry, to characterize immune cells in solid tumors. The PhD projects include work with clinical samples such as fresh tumor biopsies