Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Technical University of Munich
- University of Tübingen
- Leibniz
- Nature Careers
- Free University of Berlin
- Heidelberg University
- Heraeus Covantics
- International Max Planck Research School for Molecules of Life (IMPRS-ML)
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Plant Breeding Research, Köln
- Universität Düsseldorf
- 2 more »
- « less
-
Field
-
international conferences Mentoring of researchers Your qualifications: University degree in sociology, economics, or a closely related field Doctorate / PhD in one of the above-mentioned fields is an advantage
-
natural sciences/horticulture. In addition, we are looking for a candidate with the following: A high level of motivation to collaborate at an interdisciplinary interface Expertise in the field of data
-
duration. Your role In 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
-
, 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
-
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
-
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
-
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