Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Linköping University
- Chalmers University of Technology
- SciLifeLab
- Sveriges lantbruksuniversitet
- Lunds universitet
- Swedish University of Agricultural Sciences
- University of Lund
- Uppsala universitet
- Mälardalen University
- Nature Careers
- Jönköping University
- KTH Royal Institute of Technology
- Linköpings universitet
- Linnaeus University
- Lulea University of Technology
- Malmö universitet
- School of Business, Society and Engineering
- Stockholms universitet
- Umeå universitet
- 10 more »
- « less
-
Field
-
and documented background in machine learning, deep learning, data analysis and programming. Previous experience in research and knowledge in bioinformatics, biophysics, biochemistry, molecular biology
-
cytometry, FACS, and qPCR for quantifying infection; as well as statistical analysis. You are also likely to use CRISPR/Cas9 technology, CLIP assay, co-immunoprecipitation, and other biochemical methods
-
, or relevant fields. Excellent programming skills in modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data
-
analysis, and building materials. Research in Forestry and Wood Technology covers a broad scientific field, from forest management to finished products covering all value chains, including the development
-
on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any
-
. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
-
CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
-
into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
-
qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
-
risk analysis. -Testing for security and security countermeasures analysis and implementation -Access and usage control for secure data sharing in industrial eco-systems. -Virtualization at the cloud