Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Heidelberg University
- DAAD
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Biochemistry, Martinsried
- University of Tübingen
- 2 more »
- « less
-
Field
-
Build large-scale AI to map and monitor plankton biodiversity, ecosystem health and carbon flux, facilitating decision‑making in the face of climate change. Hosted at the Max Delbrück Center
-
“break” and “fix” themselves with the central goal of understanding how embryos build healthy organs even in conditions that could cause disease. The Postdoc (m/f/d) will lead a project investigating the
-
on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges
-
the ImmuneMPS consortium Excellent wetlab, organoid, and computational infrastructure in a thriving biotech hub Make one of the most picturesque, enjoyable , and ecological towns your home (BBC & ZEIT
-
Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 27 days ago
will make use of new ALMA, JWST, and HST observations and will be done in the context of the PHANGS collaboration. The successful candidates will work on characterizing and understanding the properties
-
16.06.2025 Application deadline: 15.07.2025 Our group builds artificial intelligence systems for discovering new concepts, experiments and ideas in physics. To accelerate this effort, we need your
-
, our team of approximately 16,100 dedicated employees works to make the world a healthier place. Our goal is to be one of the leading university hospitals while also being the best employer in our
-
machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
-
role You will work in an international team to develop computational methods that are designed to investigate the effects of rare variants and apply them in large cohort studies. This project builds
-
cutting-edge proteomics and phosphoproteomics with computational approaches, we will build a comprehensive molecular framework that links specific inflammatory pathways to clinical phenotypes. Our goal is