Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Leibniz
- DAAD
- University of Tübingen
- European Magnetism Association EMA
- Free University of Berlin
- Heidelberg University
- 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
- Max Planck Institute for Social Anthropology, Halle (Saale)
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- RWTH Aachen University
- Technische Universität München
- 8 more »
- « less
-
Field
-
processing algorithms for coherent optical communication systems What you bring to the table You are a student of electrical engineering, communications engineering, computational engineering, or a related
-
Electrical Engineering / Mechatronics / Automation Engineering / Computer Science or related fields Interest in battery technologies and electromobility Basic knowledge of electrochemistry or willingness
-
journey of research and innovation! What you will do Research and development in the field of process technology for InP wafers New and further development of various plasma etching processes
-
, supporting the development of sustainable energy systems in Germany and beyond. Your Profile: Technical master studies (mechanical engineering, electrical engineering, construction engineering) or
-
technology are expected. The focus of the candidate’s scientific work on should be application-oriented basic research in a current research area of pharmaceutical technology or related areas, preferably in
-
of "green" hydrogen from renewable electricity into sustainable energy carriers, chemicals, and fuels. In addition to efficient transport and storage properties, liquid energy carriers offer an alternative
-
programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
-
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
-
Your Job: Pulp and paper production is an energy-intensive process, due to the demand of thermal energy for the paper drying stage and electricity for pulp production. While biomass use