Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Technical University of Munich
- Helmholtz-Zentrum für Umweltforschung - UFZ
- Leibniz
- Nature Careers
- University of Tübingen
- ;
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Heidelberg University
- Technische Universitaet Dresden
- University of Hamburg
- Academic Europe
- CISPA (Stuttgart)
- Carl von Ossietzky Universität Oldenburg
- Free University of Berlin
- Friedrich-Alexander-University Erlangen-Nürnberg
- GESIS - Leibniz Institut für Sozialwissenschaften
- Goethe-Universityrankfurt
- Hertie AI institute for brain health / University of Tübingen
- Kiel University;
- Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik
- Leibniz University Hannover
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Plant Breeding Research, Cologne
- University of Mannheim
- University of Stuttgart
- Universität Bielefeld
- Universität Siegen
- 19 more »
- « less
-
Field
-
interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
-
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
-
) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
-
research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
-
genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology, which may also then be used
-
for Plant Breeding Research conducts basic research on plants and their development using a wide variety of methods, in particular molecular genetics, genomics, imaging processes, computational biology and
-
the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
-
(SRCSB). The Clark lab combines high resolution live cell imaging, quantitative analysis and mechanobiology to understand intestinal cell function and dynamics and the role of cell and tissue mechanics in
-
board! RESPONSIBILITIES: Opportunity to contribute to ongoing research on mechanical signaling in healthy and diseased heart muscle cells Use of state-of-the-art molecular, biophysical, and imaging
-
environmental processes, in order to explain their long-term developments and to understand how they resonate into the present (https://www.uni-kiel.de/en/cluster-roots ). ROOTS combines expertise from a wide