Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- Heidelberg University
- University of Tübingen
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Free University of Berlin
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Karlsruher Institut für Technologie (KIT)
- Max Delbrück Center
- Max Planck Institute for Evolutionary Anthropology, Leipzig
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Technische Universität Ilmenau
- Technische Universität München
- University of Greifswald
- 9 more »
- « less
-
Field
-
Steinrück), we investigate mechanisms and processes of chemical hydrogen storage using advanced methods (including large-scale research facilities) as well as modern data reduction and data evaluation methods
-
Area of research: Scientific / postdoctoral posts Job description: Postdoc for "Large-Eddy Simulations of Arctic air-mass transformations" (m/f/d) Background The Arctic climate is shaped by
-
learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
-
degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
-
science, automation science, or a related field, and convincing expertise in robotic hardware. Experience with machine learning and large language models is highly desirable. Prior experience in a biological setting
-
) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
-
bioinformatics (m/f/d) Are you passionate about bioinformatics and eager to work at the intersection of medicine and academic research? Join our motivated team and contribute to cutting-edge big data analysis in
-
ability to quantify and model these processes remains limited, contributing to uncertainties in global carbon sink estimates. You will analyze data and samples from past and upcoming expeditions to evaluate
-
-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
-
European sea basins over decadal timescales, due to coastal darkening (COD) and artificial light at night (ALAN), and will determine drivers, sources and impacts of these changes at both large and small