Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- Heidelberg University
- Leibniz
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- GFZ Helmholtz Centre for Geosciences
- RWTH Aachen University
- Friedrich-Alexander-University Erlangen-Nürnberg
- Helmholtz Zentrum Hereon
- Humboldt-Universität zu Berlin •
- International PhD Programme (IPP) Mainz
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute of Psychiatry, München
- University of Tübingen
- 7 more »
- « less
-
Field
-
Infrastructure resilience under multi-hazard scenarios Model development and data analyses includes writing well-documented, reusable code (Python or R) Collaborate closely with fellow PhDs and project partners in
-
collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
-
data analyses includes writing well-documented, reusable code (Fortran, Python or R) Collaborate closely with fellow PhDs and project partners in an interdisciplinary context Present, publish and
-
or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness to participate in sea
-
) Exchange with internal and external as well as national and international project partners Preparing scientific publications and project reports [1] Kaliakin, D., Shajan, A., Moreno, J. R., Li, Z., Mitra, A
-
techniques is an advantage • Prior experience with Python and R programming is considered an asset • Highly motivated, team-oriented, and well-organized • Good English communication skills (spoken and
-
, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department og Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
-
) networks. Hydrology and Earth System Sciences, 22(11), 6005-6022. (2018). [2]. Chen, R. T., Rubanova, Y., Bettencourt, J., & Duvenaud, D. K. Neural ordinary differential equations. Advances in Neural
-
Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 2 months ago
programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong scientific curiosity and motivation
-
literacy and basic programming skills (R, Python), or the willingness to develop these skills Analytical mindset, with a keen interest in advancing proteomic methodologies We offer Cutting-edge proteomic