Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- Leibniz
- Free University of Berlin
- Humboldt-Stiftung Foundation
- DAAD
- Heidelberg University
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Social Anthropology, Halle (Saale)
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Technische Universität München
- 7 more »
- « less
-
Field
-
support your work through: A large, green research campus with excellent opportunities for networking with colleagues and for sports and recreation alongside work Interdisciplinary data science and applied
-
Biology or a closely related scientific discipline and brings a strong background in bioinformatics, chemoinformatics, machine learning, AI and data analysis of large biological datasets. Proficiency in
-
emphasis is on grid-forming control for the integration of hybrid power plants including large-scale electrolyzes. Become an active member of the team; we are keen to hear your ideas! As an international
-
well as professional prospects. Your contribution: You play a key role in the maintenance, utilization and further development of our strain collection and its database, which focuses on bacteria, a large proportion of
-
Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 2 months ago
, care workers, local politicians and patients/ elderly members of the community) who are currently involved in a large-scale attempt to develop and test new digital care technologies in the region
-
. The research area includes interactions between large oceanic currents, eddies, fronts, and the coast, as well as analyzing their effects on the distribution of heat, nutrients, marine life and the sea floor
-
between the four foundational pillars of the PBI: science - interacting with several research groups within and outside PIK, data - an international network of data providers, operationalization - a network
-
of groundwater is under threat, for example from agriculture, which causes large-scale nitrate and pesticide pollution and can lead to microbial contamination. Pathogenic microorganisms and other pollutants
-
the sections of Kl, Machine Learning and Deep Learning are your foundation. Are you proficient in relevant frameworks such as PyTorch, TensorFlow or Huggingface? Perfect! Additional experience in data (pre
-
pointcloud maps of the environment. In large environments, creating and managing those maps is a challenge that needs to be solved. To create a global representation of an environment of a robot, multiple