Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- University of Tübingen
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute of Biochemistry, Martinsried
- 3 more »
- « less
-
Field
-
Proficiency in running numerical coastal ocean models Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran, C/C++, or Python
-
, including experience with tabular, image, and time-series data. Proven hands-on experience with tools such as Python, PyTorch, TensorFlow, NumPy, and scikit-learn. Familiarity with version control systems
-
-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python
-
Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork skills
-
Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
related field # Proficiency in programming languages (Python, C/C++, Julia) # Background in machine learning methods # Experience in developing, training, and tuning machine learning models # Prior exposure
-
of the above fields Solid methodological background in image processing and AI Strong publication record in relevant fields Hands-on programming experience in Python for data science, image processing, and using
-
, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or
-
programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
-
processes Strong experience in working with large datasets and advanced programming skills (e.g., Python, MATLAB, R) Knowledge of biological and biogeochemical processes in the biological carbon pump
-
, preferably in several languages such as Python, C++ or comparable tools Experience in the field of fuel cells and/or electrolysis as well as a sound knowledge of electrochemistry are an advantage Responsible