Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- DAAD
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Nature Careers
- GESIS - Leibniz Institut für Sozialwissenschaften
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- University of Tübingen
- FH Münster
- Leibniz
- Leibniz Universität Hannover
- University of Potsdam, Faculty of Science
- Constructor University Bremen gGmbH
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- NEC Laboratories Europe GmbH
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
- Saarland University
- Universitaet Muenster
- University Medical Center of the Johannes Gutenberg University Mainz
- University of Bremen
- University of Cologne
- 15 more »
- « less
-
Field
-
compiling information on a current topic in the field of machine learning. Researching and implementing novel machine learning and computer vision approaches. Self-critical evaluation of the obtained results
-
adapters should be created and tested for previously selected detection methods, which can reliably bypass these detection methods. Be part of change Researching and implementing novel machine learning
-
following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
-
machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Newton`s method. In
-
-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
-
programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a
-
Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
-
) may be offered. We seek a scholar who applies quantitative methods (such as (causal) machine learning) to sport economics research questions in an innovative manner. Evidence of such contributions
-
project “Analytics for Learning with Machines” (ALMA) The position is TV-L E13, 75%, limited to 3 years, funded by the Deutsche Forschungsgemeinschaft (DFG). The project is a Franco-German collaboration
-
data analysis, network analysis, or machine learning is a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in