Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- DAAD
- Technical University of Munich
- Nature Careers
- Fraunhofer-Gesellschaft
- GESIS - Leibniz Institut für Sozialwissenschaften
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- University of Tübingen
- Leibniz
- Leibniz Universität Hannover
- University of Potsdam, Department of Human Resources
- 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
- 14 more »
- « less
-
Field
-
Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine
-
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
-
machine learning and deep learning methods will be developed and applied within interdisciplinary research networks. The professorship should also contribute to the generation and supervision
-
concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural Language Processing (NLP) and Natural Language Generation (NLG) We
-
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
-
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
-
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
-
comparable, relevant field of study Understanding of the fundamental concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural
-
mechanisms of learning, memory formation, perception, and behavior. Researchers with a proven track record in neuroengineering and related fields — including neuro-inspired hardware, brain-machine interfaces
-
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