Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Swedish University of Agricultural Sciences
- SciLifeLab
- Lunds universitet
- Karolinska Institutet (KI)
- Uppsala universitet
- Umeå University
- Linköping University
- KTH Royal Institute of Technology
- Sveriges Lantbruksuniversitet
- Nature Careers
- Umeå universitet stipendiemodul
- Karolinska Institutet, doctoral positions
- Högskolan Väst
- Umeå universitet
- University of Gothenburg
- Blekinge Institute of Technology
- Faculty of Culture and Society
- Göteborgs Universitet
- IFM, Linköping University
- Jönköping University
- KTH
- Karlstads universitet
- Lule university of technology
- Lulea University of Technology
- Luleå university of technology
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Borås
- University of Skövde
- Örebro University
- 23 more »
- « less
-
Field
-
communication skills in written and spoken English. It is a merit if the candidate has skills in programming languages (e.g. python or R) and good knowledge about agricultural cropping systems and ecology. In
-
strong skills in the use of the analysis tools BORIS, R, and Python. Experience with international, particularly French, collaborations is considered an asset. You are fluent in spoken and written French
-
models is a merit. Candidates are expected to have a genuine interest in computer security, and are required to have very good knowledge of programming (such as in C, Java, or Python). Another requirement
-
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
-
models is a merit. Candidates are expected to have a genuine interest in computer security, and are required to have very good knowledge of programming (such as in C, Java, or Python). Another requirement
-
, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
-
science, radiative transfer and remote sensing. Proficiency in Python and deep learning frameworks (e.g., PyTorch). What you will do Take courses at an advanced level within our Graduate school. Develop
-
the application. Required qualifications: Solid insights in marine ecology Programming skills in Fortran, Python and R Demonstrated skills in statistical analyses and modelling Capacity to work with complex data
-
experimental experience in immuno-oncology Practical experience of bioinformatics and programming (e.g. in Python and/or R) Practical experience of multiplex flow cytometry and cell sorting Practical experience
-
Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based