Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Nature Careers
- Forschungszentrum Jülich
- DAAD
- Leibniz
- GFZ Helmholtz-Zentrum für Geoforschung
- RWTH Aachen University
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Humboldt-Universität zu Berlin
- 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
- Karlsruhe Institute of Technology •
- MPINB
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Intelligent Systems, Stuttgart site, Stuttgart
- Universität Regensburg
- 15 more »
- « less
-
Field
-
following profile. Be a part of our team and come on a journey of research and innovation! What you will do Implementation of algorithms for signal processing using Matlab and Python System-level behavioral
-
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
-
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
-
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
-
, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
-
or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
-
) 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
-
language (e.g., Matlab, Python) experience with special populations (e.g., autism) would be an advantage but is not essential We offer: As one of eleven German universities of excellence, TUD offers