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
- Universitaet Muenster
- University Medical Center of the Johannes Gutenberg University Mainz
- University of Bremen
- 13 more »
- « less
-
Field
-
Your Job: Machine Learning (ML) and artificial intelligence (AI) based on neural networks are currently reshaping all aspects of society. In several areas, such as medicine, AI-based tools
-
strengths of the University of Tübingen in Computer Sciences and Machine Learning. Potential research directions include, but are not limited to, phylogenetic, demographic, ecological and biogeographic
-
present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
-
, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
-
will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
-
action recognition, and enable seamless collaboration between humans and machines. Long-Term Human-Technology Evolution: investigate the longitudinal impact of human-technology interaction on learning
-
recognition, and enable seamless collaboration between humans and machines. Long-Term Human-Technology Evolution: investigate the longitudinal impact of human-technology interaction on learning, behavior, and
-
of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
-
the INW-1 machine learning team on data handling, online analysis, design of experiments (DoE), and data categorization to enable efficient and automated evaluation of operando experiments Collaboration
-
Artificial Intelligence (AI) and Machine Learning (ML). In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship