Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- Leibniz
- DAAD
- Heidelberg University
- Forschungszentrum Jülich
- University of Tübingen
- Free University of Berlin
- Technische Universität München
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- University of Technology Nuremberg;
- Heinrich-Heine-Universität Düsseldorf
- Helmholtz-Zentrum Geesthacht
- Hult
- Leibniz Universität Hannover
- Max Planck Computing and Data Facility (MPCDF), Garching
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Biological Cybernetics, Tübingen
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Legal History and Legal Theory, Frankfurt am Main
- Max Planck Institute for Plant Breeding Research, Cologne
- Max Planck Institute for the History of Science, Berlin
- Max Planck Institute of Biochemistry, Martinsried
- University of Göttingen
- 16 more »
- « less
-
Field
-
of Salary Scale W3 NBesO to be filled at the earliest possible date:University Professorship in Production Engineering and Machine Tools The Position The head of the institute represents the field in teaching
-
learning for decentralized AI model training for tool wear detection and measurement in milling processes within the »FL4AI« project. A custom dataset has been acquired, consisting of microscopic tool wear
-
and infrastructure facilities of the Leibniz Association . The DPZ’s Primate Data Science (PRIDAS) platform seeks a position for Data Scientists – Computer Vision (m/f/d). The position is suitable
-
Candidates (f/m/d) in Machine Learning Applications to Sustainable Energy Management. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like
-
vision models Experience with event-based cameras, neuromorphic vision concepts, spiking neural networks, and/or neuromorphic computing is a plus Experience with, or willingness to learn, ROS 2 for robotic
-
existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
-
of computer vision and machine learning methods for automated analysis and processing of multimodal remote sensing data. About us The Technical University of Munich (TUM) is committed to excellence in research
-
(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US
-
on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
-
outstanding researchers with a strong track record of advancing the state of the art in machine learning and potentially its application to biology and biomedicine, with the ambition to build an internationally