Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- Leibniz
- Nature Careers
- Heidelberg University
- University of Tübingen
- Helmholtz-Zentrum Geesthacht
- University of Regensburg
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Hereon
- Universität Tübingen
- Academic Europe
- CISPA (Stuttgart)
- CISPA Helmholtz Center for Information Security
- Chemnitz University of Technology
- Eberhard Karls University Tübingen
- Fraunhofer Institute for Wind Energy Systems IWES
- Friedrich-Alexander-University Erlangen-Nürnberg
- GESIS - Leibniz Institut für Sozialwissenschaften
- GFZ Helmholtz-Zentrum für Geoforschung
- GSI Helmholtzzentrum für Schwerionenforschung
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Humboldt-Universität zu Berlin •
- Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Biological Cybernetics, Tübingen
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Meteorology •
- Max Planck Institute of Animal Behavior, Radolfzell / Constance
- University Hospital Jena
- University Hospital of Schleswig Holstein
- University of Siegen
- Universität Siegen
- 29 more »
- « less
-
Field
-
a completed or in-progress Ph.D Good knowledge of quantitative research methods and data in the social sciences, and statistical programs for handling them (e.g., Python, R, and Stata) Experience
-
stack Development of Python code to operate quantum systems Detailed experimental characterization of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform
-
fields (genetics, genomics, bioengineering, applied mathematics) Obtained or will obtain a Master’s degree in the above fields (For biologists) Intermediate programming skills in R or Python and prior
-
degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python or Matlab) Passionate about human neuroanatomy and cognitive neuroscience Excellent written and
-
areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
-
scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
-
autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C
-
Proven laboratory experience and programming proficiency (Python or a comparable language) Ability to work independently and self-reliantly, while maintaining strong teamwork and collaboration skills
-
- Practical experience in working with RNA (RNA extraction, RT-PCR, RNA sequencing) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant
-
good knowledge of experimental research methods and statistics, experience with sta-tistical software (e.g. JASP, R)•Programming skills (e.g. in Matlab, Python/Psychopy and/or R) or willingness