Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Technical University of Munich
- ; University of Cambridge
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
-
Field
-
++, Rust, or similar languages. CUDA experience is a plus. Passion for interdisciplinary research in an innovative and collaborative environment. Application Process: Submit your CV, cover letter, and
-
data Strong analytical, problem-solving and communication skills Ability to work successfully both independently in a multidisciplinary team of biologists, physicists, and computer scientists Excellent
-
. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
-
Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
the manufactured targets and ion source materials is desired. Your Tasks: Investigation on reduction processes of enriched isotopes Analyzing the requirements on enriched isotopes for ion-source operation and heavy
-
, biomedical sciences, natural sciences, or a related field Strong background in microbiology and infection biology, including experience with BSL2 pathogens and/or phages Experience in bioinformatics is an
-
. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad
-
on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction
-
Job Advertisement Leibniz-HKI-36/2025 In a joint, multi-disciplinary approach, the Friedrich Schiller University of Jena together with the Leibniz Institute for Natural Product Research and
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration