Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Karolinska Institutet
- Umeå University
- Stockholm University
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- Linköping University
- Uppsala universitet
- Uppsala University
- Lunds universitet
- Umeå universitet
- Karolinska Institutet (KI)
- SciLifeLab
- University of Lund
- Sveriges lantbruksuniversitet
- Örebro University
- KTH Royal Institute of Technology
- Linnaeus University
- Lund University
- Mittuniversitetet
- Mälardalen University
- Umeå university
- University of Borås
- University of Gothenburg
- 13 more »
- « less
-
Field
-
processing, spatial analysis, statistical analysis, and visualization of urban environments, knowledge of programming in one (or more) of R, Python, SQL, and the use of Github or equivalent. You must also have
-
, both verbally and in writing. Applicants should have experience and expertise in quantitative methods and advanced statistical analyses (e.g., structural equation modelling, multilevel analysis). It is
-
at the Department of Economics have gone on to attend top-tier PhD programs in Economics. Concrete tasks: Process and manage large datasets Conduct statistical and econometric analysis, primarily using Stata, but
-
, computer science, statistics, artificial intelligence, data analytics, biomedical engineering or allied subject areas. Research expertise in statistics, machine learning, deep neural networks, time-series analysis
-
: - Experience with wireless communication networks - Knowledge of information theory and/or statistical learning theory - Experience with python machine-learning libraries Contract terms This postdoc position is
-
We welcome applications for a postdoctoral research position in nonequilibrium statistical physics and condensed matter theory within the research group led by Matthias Geilhufe at Chalmers
-
for teaching. Qualifications To qualify for the position of postdoc, you must hold a doctoral degree in electrical engineering or computer science, with specialization in statistical signal processing, wireless
-
of experience in genetic research both in Sweden and internationally Expert knowledge of genetic- and statistical analysis including analysis of GWAS-data Experience of genetic risk prediction model development
-
courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en
-
communication and writing skills are required. Ability in the use of statistical analyses/bioinformatic tools will be highly pondered. Processing The employment is prepared in accordance with Mittuniversitet's