Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Max Planck Institutes
- Nature Careers
- Academic Europe
- Bruker Nano GmbH
- CISPA (at University of Stuttgart)
- Forschungszentrum Jülich
- Hannover Medical School •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Sustainable Materials •
- Max Planck School of Cognition •
- Saarland University •
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- TU Berlin
- University of Bremen •
- University of Tübingen •
- 11 more »
- « less
-
Field
-
environment. Fluency in German and English required. PhD Position – HARMONY Project Professorship for Ethics of Artificial Intelligence and Neuroscience School of Medicine and Health Technical University
-
communities, most importantly in helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit: https://www.helmholtz.ai Presenting research results at scientific meetings, conferences, and as scientific
-
-funded competence centre for Artificial Intelligence and Machine Learning. It now consists of more than 40 excellent research groups, both in the field of application-oriented Machine Learning and in
-
well as how protein binding evolves. Experimental approaches will not be able to close this knowledge gap in structural information soon. Artificial intelligence (AI)-based approaches gain huge momentum in
-
Flight or Docking or Robotics or Artificial Intelligence experience in the practical design and execution of experimental equipment the ability to teach in German and/or English is a prerequisite
-
, we are at the forefront of innovation. Moreover, employing advanced techniques like artificial intelligence and machine learning, we are revolutionising material production, making it more efficient
-
collaboration. Bolstered by the UBRA’s flagship initiative on “Artificial Intelligence”, the centre places a strong emphasis on enhancing the expertise of its doctoral students. Its primary aim is to leverage
-
artificial intelligence methods. PhD position in atmospheric corrosion studies via novel experiments and machine learning Reference code: 50134137_2 – 2025/MO 1 Commencement date: as soon as possible Work
-
) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is
-
solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire