Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet (KI)
- Lunds universitet
- University of Lund
- Umeå University
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Chalmers tekniska högskola
- Linköping University
- Lund University
- Chalmers te
- Göteborgs universitet
- Jönköping University
- Karolinska Institutet
- Nature Careers
- Stockholm University
- Sveriges Lantbruksuniversitet
- Sveriges Lantrbruksuniversitet
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Gothenburg
- 13 more »
- « less
-
Field
-
and statistics, including programming in commonly used languages such as R. A valid category B driver’s license, enabling fieldwork in Sweden and abroad. Very good oral and written proficiency in
-
analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
-
Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
-
to independently perform both bioinformatic and statistical analyses. Excellent communication skills in both oral and written English are expected. The candidate must be capable of independent planning, execution
-
research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive
-
for a two year postdoctoral position to characterize the statistics of brain activity and relate it to the underlying network properties. Recent data has revealed the multiple ways brain activity
-
machine learning and other statistical methods.All work will be carried out in a collaborative research team, requiring the sharing of expertise, open discussion of results, and the facilitation
-
. Interest in power electronics, power systems, electromobility. Programming skills in relevant languages, e.g. Python or MATLAB. Knowledge about battery pack testing and design. Experience with statistics and
-
Description Job description The postdoctoral researcher will be part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors.” The project
-
. The candidate should also demonstrate an excellent understanding of and ability to independently perform both bioinformatic and statistical analyses. Excellent communication skills in both oral and written