Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Uppsala universitet
- Umeå University
- Lulea University of Technology
- Lunds universitet
- Stockholms universitet
- University of Lund
- Sveriges Lantbruksuniversitet
- Chalmers University of Technology
- Umeå universitet
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Luleå tekniska universitet
- Luleå university of technology
- Mid Sweden University
- SciLifeLab
- University of Borås
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Institutionen för molekylära vetenskaper
- Jönköping University
- KTH Royal Institute of Technology
- Karlstads universitet
- Lule university of technology
- Luleå
- Mittuniversitetet
- Stockholm University
- 19 more »
- « less
-
Field
-
- experience in programming (e.g. Matlab and/or Python) - experience in fieldwork - proficiency in scientific writing - skills in communicating with people who have different backgrounds Your workplace
-
the infrared spectral region experience with programming for data analysis in Python and experimental control in LabVIEW ability to work both independently and collaboratively with other researchers Additional
-
assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
-
which must be in advanced courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C
-
. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Data driven epidemiology and biology of infection cover research that will transform our understanding
-
in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
-
robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results through publications and
-
methodological skills using, for example R or Python. - Strong collaborative skills and ability to take initiative. For further information about specific doctoral education, see, Study plans for doctoral studies
-
courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
-
of machine learning such as robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results