Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- DAAD
- Leibniz
- University of Tübingen
- Free University of Berlin
- Heidelberg University
- Leibniz Universität Hannover
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Medical Research, Heidelberg
- Max Planck Institute for Plasma Physics (Garching), Garching
- Technische Universität München
- University of Bremen
- 6 more »
- « less
-
Field
-
spiking neural networks Your Profile: Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field Strong background in
-
you bring to the table You are studying mechanical engineering, industrial engineering, electrical engineering, or a comparable field of study You are interested in production engineering and the
-
for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
-
science, electrical engineering or a related discipline Solid background in solid-state physics and/or semiconductor devices is helpful Basic programming skills (e.g. Python or MATLAB); prior simulation
-
of test stands What you bring to the table Master studies in mechanical engineering, process engineering or comparable courses of study Previous knowledge of materials science and production engineering as
-
program in computer science, electrical engineering, mathematics, or a comparable field of study Good knowledge of the Python programming language Solid knowledge in at least one of the following areas
-
relevant algorithms Perform tests on available simulation models Evaluate and document the results What you bring to the table You are close to completing a master's in electrical engineering, computer
-
innovative solutions for current and future key topics. Become a part of our team and join us on our journey of research and innovation! What you will do Testing new foundation model architectures for weather
-
demonstrations What you bring to the table Enrolled Bachelor/Master student in the field of electrical engineering, telecommunications engineering or related fields Strong understanding of networking fundamentals
-
in existing projects about VHSP What you bring to the table You are a student of electrical engineering, communications engineering, photonics, physics or a related subject Knowledge of digital signal