Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- DAAD
- Free University of Berlin
- Leibniz
- University of Tübingen
- Heidelberg University
- Forschungszentrum Jülich
- Max Planck Institute for Legal History and Legal Theory, Frankfurt am Main
- Max Planck Institute of Geoanthropology, Jena
- Technische Universität München
- ;
- Constructor University Bremen gGmbH
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Innovation and Competition, Munich
- Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute for Solid State Research, Stuttgart
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- University Medical Center of the Johannes Gutenberg University Mainz
- Universität Tübingen;
- 17 more »
- « less
-
Field
-
packages for machine learning. You are not afraid of learning new technologies and frameworks. You enjoy developing prototypes. You are independent, creative and curious and you can work independently. What
-
Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
key role in the foundation of interoperable, machine-readable data platforms, powering AI analyses and automated workflows. You will collaborate with top scientists from all subject areas at BAM
-
environmentally friendly chemistry, in applications for the aerospace and military sectors as well as in life-cycle assessments, recycling and sustainability concepts – which you could soon help to create
-
(MDSI) is an integrative research institute at the Technical University of Munich (TUM), with an interdisciplinary and cross-faculty focus on data science, machine learning, and artificial intelligence
-
societal actors, including scientists, local administration, coastal communities, and other decision-makers apply skills in data science, advanced AI interface development and machine learning to apply
-
Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
quantum technologies. This research can be complemented by digital methods of process simulation and optimization, as well as machine learning. Requirements include an outstanding PhD in materials science
-
tumor cells and host or immune cells in the tumor microenvironment and periphery to identify predictive biomarkers and develop novel immunotherapeutic approaches for solid tumors (e.g., TCR T cells, CAR T
-
systems in a targeted manner. An important aspect of this effort is the accurate organization, harmonization, and exchange of research data that will fuel the application of machine learning approaches
-
range. Be part of change You will acquire comprehensive knowledge of processing transparent materials with UKP laser radiation. You will also plan and carry out experiments on the SLE laser processing
-
-homepage Implementation of empirical studies with the social robot Advising students on technical issues You bring with you: B.Sc.-degree in computer science, computer linguistics, data science and AI