Sort by
Refine Your Search
-
Category
-
Employer
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- University of Lund
- Linköping University
- Lunds universitet
- Uppsala universitet
- Blekinge Institute of Technology
- Chalmers University of Technology
- Göteborgs universitet
- Institutionen för Biologi och miljövetenskap
- Karolinska Institutet, doctoral positions
- Stockholm University
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 7 more »
- « less
-
Field
-
and statistical methods as part of a close collaboration between Uppsala University, Westinghouse, and Vattenfall? Would you like to contribute to the development of fast, robust and reliable
-
of large-scale biological datasets will be considered a strong advantage. Experience with CRISPR-based approaches or statistical programming in R or Python is desirable but not required. The application
-
analyses using both DDA and DIA methodologies. Conducting bioinformatic and statistical analyses of peptidomic datasets to identify peptide patterns, proteolytic signatures, and candidate peptides with
-
. Experience in winter biological sampling at ice-covered lakes is highly meritorious. Strong skills in statistical analysis, experience in scientific publication, and fluency in written and oral Swedish
-
-covered lakes is highly meritorious. Strong skills in statistical analysis, experience in scientific publication, and fluency in written and oral Swedish are merits. Advantageous attributes include a
-
biological data. Analyzing and visualizing collected data using appropriate statistical methods and relevant software. Conducting literature reviews and completing doctoral-level coursework. Presenting
-
preparation, peptide enrichment, and fractionation. Performing LC-MS/MS analyses using both DDA and DIA methodologies. Conducting bioinformatic and statistical analyses of peptidomic datasets to identify
-
contributing to histological and immunohistochemical analyses of biological markers. Analyzing microscopy images and other biological data. Analyzing and visualizing collected data using appropriate statistical
-
and health. This is a unique opportunity to bridge mathematics, statistics, AI, and biomedical research in a highly interdisciplinary research environment. About us Fraunhofer-Chalmers Centre (FCC) is
-
communication. The PhD student will have opportunities to develop skills in experimental design, laboratory and field research on animals, statistical modelling and programming, evidence synthesis, climate