Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Technical University of Munich
- University of Tübingen
- Leibniz
- Nature Careers
- ;
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Heidelberg University
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Plant Breeding Research, Köln
- Universität Düsseldorf
- 3 more »
- « less
-
Field
-
the Phytophotonics department, you will work as part of an interdisciplinary team at the interface between plant sciences and optical technologies. The focus is on various spectroscopic and imaging methods
-
, Quantum Sensors Appl Deadline: 2025/09/31 11:59PM (posted 2024/09/24, listed until 2025/09/31) Position Description: Apply Position Description The position (post-doc, research associate, or PhD student
-
papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or preferable subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields
-
Engineering (ISSE) is one of the two computer science institutes at Clausthal University of Technology and is home to several research groups. You can find more information about the ISSE Institute on our
-
available in the further tabs (e.g. “Application requirements”). Objective A cooperation agreement on the joint training and education of PhD students has existed between the Chinese Academy of Sciences (CAS
-
assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
-
-time data transmission and processing, ensuring efficient and accurate monitoring of storage site conditions. Additionally, you will be responsible for creating and refining a real-time demonstration
-
of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
-
, environmental or natural resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis
-
fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements