Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Leibniz
- Free University of Berlin
- Humboldt-Stiftung Foundation
- Max Planck Institute for Extraterrestrial Physics, Garching
- 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 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
-
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
-
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
-
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
-
to, cloud-circulation coupling, climate feedback and sensitivity, polar climate change, and large-scale atmospheric general circulation. Ideal candidates should incorporate a diverse range of methodologies in
-
and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
-
the fundamental understanding of how small-scale processes influence large-scale climate patterns. The group is expected to fully leverage a km-scale ICON model, capable of resolving storm systems and mesoscale
-
Full Professorship (W3) for "Children, Adolescents and Young Adults (CAYA) Cancer Survivorship Resea
, design and implementation of register and cohort studies on long-term and late effects of cancer therapies, integration of epidemiological data with potential biomarkers, as well as research
-
-level modeling, or computer architectures or even quantum computers can be helpful but is not necessary Enthusiasm for unconventional, interesting interdisciplinary work - especially at the intersection
-
at the Fraunhofer ITWM work on projects in high-tech and low-tech companies, in small and medium-sized enterprises as well as in large-scale industry - regionally and internationally. You would like to work with us
-
be part of the group »Slewing Bearings« at our site in Hamburg. At present, our team consists of 10 employees and several students. We focus on large slewing rings. To meet the highest reliability