Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- Nature Careers
- Ludwig-Maximilians-Universität München •
- University of Göttingen •
- Forschungszentrum Jülich
- Max Planck Institute for Biogeochemistry, Jena
- 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 •
- 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 •
- 17 more »
- « less
-
Field
-
structured courses: Introduction courses (compulsory) Retreats (compulsory) Lecture series Expert courses Summer schools Soft skills courses Training in scientific programming and statistic software Project
-
Mathematical Sciences at the University of Göttingen as well as the associated research training groups "Fourier Analysis and Spectral Theory" and "Discovering structure in complex data: Statistics meets
-
equivalent degree with a strong background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, psychology, cognitive science
-
Engineering, Statistics, or quantitative social sciences) may also fulfil the admission requirements if they have a sufficient background in Economics or Business Studies. All applicants may provide GRE General
-
certification flights and flight data from operators of the ten-seater, twin-engine helicopter with a maximum take-off weight of up to 4,800 kg, together with statistics on maintenance events, provide the data
-
Course location Bonn Description/content Anthropology, Biomechanics, Clinical Studies, Epidemiology, Genetics, Health Services Research, Imaging, Statistics For further information, please visit our
-
of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
-
mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
-
(e.g. econometrics, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team
-
or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in