Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Leibniz
- Deutsches Elektronen-Synchrotron DESY
- FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics
- Heidelberg University
- Karlsruhe Institute of Technology •
- Karlsruhe Instiute of Technology
- TU Bergakademie Freiberg
- 3 more »
- « less
-
Field
-
interest in experimental work in an ultrafast optics laboratory Strong computational skills (Python, Matlab etc.) are a plus A strong interest in teamwork and working with experts on a cross-institute
-
programming skills in one 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
-
FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics | Germany, | Germany | about 2 months ago
related areas • Advanced knowledge in scientific programming (R, Python, Matlab) • Ability to work independently and collaboratively in an international and interdisciplinary team • Excellent knowledge
-
: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
-
-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this project, we highly
-
defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
-
experience in Python, MATLAB, C is an advantage Good written and oral language skills in English Our offer A vibrant research community in an open, diverse and international work environment Scientific
-
numerical and experimental aspects, profound knowledge of control engineering, preferably with experimental experience, extensive experience in programming with at least Matlab or Python, high motivation and
-
software tools such as Matlab and Ansys Lumerical Expertise in programming with Python and familiarity with photonic measurement technology an advantage Independent, solution-orientated way of working and
-
microscopy in biological science; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics