Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- DAAD
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- RWTH Aachen University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Humboldt-Universität zu Berlin
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- University of Bremen
- Academic Europe
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Carl von Ossietzky Universität Oldenburg
- Friedrich-Alexander-University Erlangen-Nürnberg
- Helmholtz Zentrum Hereon
- Leibniz Institute for Plasma Science and Technology
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Intelligent Systems, Stuttgart site, Stuttgart
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Universität Regensburg
- 15 more »
- « less
-
Field
-
programming skills (Python, R, Matlab, Julia, or alternatives) initiative, ability to work in a team, very good communication skills, ability to work independently and organize, keen interest in scientific work
-
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
-
Physics, Time-Resolved Optical Spectroscopy, Photochemistry, Functional Material Dynamics, Laser Physics or Ultrafast Optics Experience in Python, MatLab or C++ is an advantage Good communication skills in
-
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
-
data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
-
one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or
-
) Analyzing and evaluating experimental data using Matlab Determining the OCV from the measured data Measuring geometric electrode parameters such as thickness, particle radius, and porosity Discussing
-
or willingness to learn Experience in working with Python, MATLAB or comparable tools for signal analysis Knowledge of machine learning (especially model deployment) is an advantage Structured, independent, and
-
scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
-
setups and instrumentation, in particular in-situ computer tomography Proficiency in one or more programming languages relevant to the task (e.g., Python, Matlab, LabVIEW, C++) Experience in programming