Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Humboldt-Stiftung Foundation
- Nature Careers
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- DAAD
- Technical University of Munich
- Helmholtz-Zentrum Hereon
- Deutsches Elektronen-Synchrotron DESY
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Humboldt-Universität zu Berlin
- International PhD Programme (IPP) Mainz
- Max Planck Institute for Evolutionary Biology, Plön
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Solid State Research, Stuttgart
- Max Planck Institute of Geoanthropology, Jena
- University of Tübingen
- 8 more »
- « less
-
Field
-
invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
-
04.04.2025, Wissenschaftliches Personal The Chair for Computer Architecture and Parallel Systems (CAPS) offers this position as part of the DARE-project funded by the EuroHPC JU bringing together
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 9 days ago
on artificial intelligence (AI), including machine learning, computer vision, and robotics. For this global organization that is pushing the boundaries of AI with cutting-edge high-performance computing, we
-
to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
-
-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
-
to enhance the understanding of the soil-root system Find links between non-invasive geophysical monitoring and the availability of Nitrate and water in the soil Improve the small-scale process understanding
-
experiment operation in 2028. Emphasis has to be put on the application of the software in real-time, making use of massive parallelism on CPU and/or on GPU. Your profile: From the applicant, we expect a
-
are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
-
computer science (e.g. digital technology, chip design, computer architectures, hardware/software codesign, parallel architectures, operating systems). Innovating and improving teaching through new formats and
-
SPM images of single molecules into their respective 3D molecular structures. Aim: Design, build, and test computer programs to interpret SPM images into 3D molecular structures. Fields: code