Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- DAAD
- Fraunhofer-Gesellschaft
- Leibniz
- University of Göttingen •
- Nature Careers
- ;
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Deutsches Elektronen-Synchrotron DESY •
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Fraunhofer Institute for Wind Energy Systems IWES
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Leipzig University •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute of Biochemistry, Martinsried
- University of Potsdam •
- University of Tübingen
- 11 more »
- « less
-
Field
-
of self-motivation to achieve a doctorate Analytical, creative and solution-oriented mindset Strong interest in familiarising yourself with new topics and learning complementary biophysical techniques
-
learning, and porous materials strong analytical and problem-solving skills ability to work independently and collaboratively in an interdisciplinary team excellent communication skills in English
-
or similar • High level of self-motivation to achieve a doctorate • Analytical, creative and solution-oriented mindset • Strong interest in familiarising yourself with new topics and learning complementary
-
interactions, give rise to a complex macroscopic behavior. They are described by nonlinear systems, which pose many analytical challenges. Tasks: scientific research on the analysis and simulation of nonlinear
-
-specific and inter-specific interactions, give rise to a complex macroscopic behavior. They are described by nonlinear systems, which pose many analytical challenges. Tasks: scientific research
-
understanding of immunology and the central nervous system • Very good written and spoken English • Analytical and creative mindset, with a strong willingness to learn new techniques Desirable experience • FELASA
-
machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
-
PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
To strengthen our team in the department “Analytical Chemistry; Reference Materials” in Berlin-Adlershof, starting as soon as possible, we are looking for a PhD student (m/f/d) in the field
-
both experimental and conceptual work, be eager to learn, and value teamwork. Experience with bioreactors, analytical instruments, and microbial cultivation is a plus. Good communication skills and
-
. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines strong analytical