Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- SciLifeLab
- Umeå University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Umeå universitet
- Chalmers University of Technology
- Lunds universitet
- Mid Sweden University
- University of Lund
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Lule university of technology
- Lulea University of Technology
- Luleå university of technology
- Mittuniversitetet
- 6 more »
- « less
-
Field
-
. Flexibility and an interest in interdisciplinary research are considered strong assets. Other assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling
-
for the project. Have documented programming experience in R, Python or other common programming languages. Have experience of quantitative analysis, computational modelling, bioinformatics, machine learning
-
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
-
health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance for the project. Have documented programming experience in R, Python or other common programming
-
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
-
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
-
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
-
in written and oral English. Programming skills with Python. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills