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)
- Chalmers tekniska högskola
- Umeå University
- Nature Careers
- Mälardalen University
- Jönköping University
- Linköping University
- Luleå University of Technology
- Umeå universitet
- University of Gothenburg
- Kungliga Tekniska högskolan
- Mälardalens universitet
- Stockholms universitet
- University of Borås
- 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
- Lulea University of Technology
- Luleå tekniska universitet
- Lund University
- School of Business, Society and Engineering
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- The Department of Marine Sciences
- The University of Gothenburg
- Umeå universitet stipendiemodul
- 26 more »
- « less
-
Field
-
the time the employment decision is made good ability to develop and conduct research of good quality pedagogical ability experience in R and / or Python. statistical knowledge and application experience
-
. Applicants should also demonstrate: High academic achievement in relevant undergraduate and graduate courses Proficiency in programming (C/C++, Python) and experience with ROS Practical experience in hardware
-
considered: Programming skills in one or more of the following: Python, SQL, R, JavaScript Experience with statistical analysis methods (for example clustering analysis, regression analysis, ANOVA) Experience
-
related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological
-
collaborate with others, have a professional approach and analyse and work with complex issues. Additional advantageous qualifications are Proficiency in numerical methods (FEM) and programming (Python, Matlab
-
professional approach and analyse and work with complex issues. Additional qualifications that are advantageous (but not mandatory): Proficiency in numerical methods (FEM) and programming (Python, Matlab, C
-
deployment of research-grade AI tools. Proficiency in Python (and preferably R); experience with data engineering for omics, containers, CI/testing, and high-quality visualization/reporting. Strong publication
-
Strong motivation for novel technical development Solid electronics background is welcome Below are seen as merits Knowledge of Solidworks Basic knowledge of programming languages such as Python Knowledge
-
writing Meritorious are: Experience of mathematical methods for inverse problems Software development, e.g. Matlab or Python Good ability for collaborative work Ability to drive projects independently
-
English. Solid programming skills in Matlab, Python, or C/C++. Great emphasis will be placed on personal qualities such as strong collaboration and communication skills with other researchers and project