Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- Nature Careers
- Ludwig-Maximilians-Universität München •
- University of Göttingen •
- Max Planck Institute for Biogeochemistry, Jena
- Forschungszentrum Jülich
- Humboldt-Universität zu Berlin •
- University of Bonn •
- University of Tübingen
- ;
- Carl von Ossietzky University of Oldenburg •
- FAU Erlangen-Nürnberg •
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Hannover Medical School •
- Heidelberg University
- Helmholtz Centre for Environmental Research - UFZ •
- Helmholtz-Zentrum Geesthacht
- Leipzig University •
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institutes
- University of Bamberg •
- University of Cologne •
- University of Konstanz •
- University of Tübingen •
- Universität Hamburg •
- 18 more »
- « less
-
Field
-
The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
-
the courses Advanced Mathematics 1–2 and/or Statistics at the TUM Campus Straubing. Your profile: Above average master’s degree in mathematics or (theoretical) computer science with a focus on discrete
-
profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
-
: TRR408-A7 Investigators: Prof. Dr. Ostap Okhrin, Chair of Econometrics and Statistics esp. in the Transport Sector and co-supervised by Prof. Dr. Kai Nagel, Chair of Transportation System
-
subsurface leaching into groundwater within agricultural systems experience in statistical analysis of research results or willingness to acquire such as well as to complete a PhD degree self-motivated
-
psychology A successfully completed scientific university degree in psychology Accurate working and strong team spirit Confident handling of large, longitudinal data sets Competent use of statistics and data
-
models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
-
and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
-
with corpus collection and annotation Familiarity with experimental design and statistical analysis methods Fluency in English Not required, but desirable: Familiarity with speech processing
-
second PhD student focused on the development of bespoke probabilistic models. Thus, an affinity towards statistical modeling is important. In-depth skills in probabilistic modeling and hands-on experience