Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- University of Lund
- Lunds universitet
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Uppsala universitet
- Karolinska Institutet (KI)
- Linköping University
- Umeå University
- Chalmers tekniska högskola
- Nature Careers
- Mälardalen University
- Swedish University of Agricultural Sciences
- Jönköping University
- Luleå University of Technology
- University of Gothenburg
- Mälardalens universitet
- Umeå universitet
- Chalmers Tekniska Högskola AB
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Institutionen för biomedicinsk vetenskap
- Karlstad University
- Karolinska Institutet, doctoral positions
- Linköping university
- Linköpings universitet
- Lund University
- School of Business, Society and Engineering
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- The University of Gothenburg
- Umeå universitet stipendiemodul
- 21 more »
- « less
-
Field
-
security - A very good knowledge in programming (such as in C, Java or Python) - In-depth understanding of computer systems (assembly code, compilers) Additional Information Work Location(s) Number of offers
-
Observation data analysis. You are fluent in Python and have solid experience with relevant machine learning and geospatial libraries such as PyTorch, TensorFlow, GDAL, rasterio, and zarr. You have experience
-
. Preferred qualifications: Proven experience applying machine (deep) learning to imaging data. Strong programming skills, preferably in Python, and use of version control (Git/GitHub). Knowledge of open-source
-
analysis. Experience with 5mc/5hmc dot blot assays for analysis of human DNA methylation levels. Expertise in Bash, Python, and R programming. Experience in phasing and resolving X-inactivation genomic data
-
English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and empirical data analysis (including statistics) Strong motivation and
-
analyses Knowledge of modelling and programming in Python or MATLAB and CFD. Experience with 3-printing. Experience in building/assembling equipment on the lab/pilot scale. Previous experience of publishing
-
level of competence in the construction and implementation of bioinformatic pipelines Good communications skills in English Documented ability in Python or Nextflow coding Experience working with machine
-
, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
-
taken into account. The assessment shall attach particular importance to documented qualifications for: previous experience with bioinformatics previous experience in Python knowledge in glycobiology
-
, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular