Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- DAAD
- University of Tübingen
- Brandenburgische Technische Universität Cottbus
- Leibniz
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- University of Bremen
- Universität Heidelberg
- Academic Europe
- CHARITE - Universitaetsmedizin Berlin
- Deutsches Elektronen-Synchrotron DESY
- European XFEL
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Institute of Polymer Chemistry, University of Stuttgart
- Karlsruhe Institute of Technology
- Karlsruher Institut für Technologie (KIT)
- Leibniz Institute for Plasma Science and Technology
- Leibniz Universität Hannover
- Max Planck Institute for Intelligent Systems, Stuttgart site, Stuttgart
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- MyBiotech
- Technische Universität München
- UNIVERSITÄT BREMEN
- Universitat des Saarlandes
- 19 more »
- « less
-
Field
-
part of our team and come on a journey of research and innovation! What you will do Performing laboratory work in the field of electrical engineering with a focus on communication systems Developing
-
evaluated. What you bring to the table Enrolled student Background in Computer Science, Software Engineering, Electrical Engineering, Autonomous Systems or similar Knowledge of C++/Python Experience with ROS
-
evaluating test series Collaborating on and supporting current research and development projects What you bring to the table Studies in mechanical engineering, production engineering, information technology in
-
Advertisement for the field of study such as: Automation technology, business education, business administration, business administration, electrical engineering, computer science, logistics
-
into existing workflows. The tasks can also be implemented as part of an internship. What you bring to the table Academic Background: You are currently pursuing a degree in Physics, Electrical Engineering, or
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 7 days ago
) Maintenance of software libraries and infrastructure Education and experience Applicants should have: An M.Sc. or PhD in computer science, electrical engineering, or a related discipline Several years
-
institute Supervision from both chemical engineering and machine learning experts, ensuring strong interdisciplinary guidance Your Profile: Current Master`s student in Process Systems Engineering
-
: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
-
the respective research fields and expect the following: an outstanding university and, if applicable, PhD degree (or equivalent) in computer science, mathematics, electrical engineering, or a relevant area
-
-electronic conductors, which are applied in functional opto-electronic, electrochemical, and bioelectronic devices. Exciting research projects from theory to synthesis and device engineering are either located