Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Leibniz
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Heidelberg University
- Free University of Berlin
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- WIAS Berlin
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- 1 more »
- « less
-
Field
-
reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling. Central to its
-
Oceanography for the next 3.5 years (until 31.03.2029) and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in accordance with the Tarifvertrag für den öffentlichen
-
-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
-
to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
-
independent policy advice on all aspects relating to the structure and functioning of the financial system. It aims to contribute to strengthening a sustainable and resilient financial system that drives
-
experience with genomic data. You are confident use of HPC environments, version control and FAIR principles. You have excellent English communication skills and a strong publication record. You fit to us: if
-
-Boltzmann methods and their implementation, as well as high-performance computing experience. • A solid command of English in speaking and writing. Knowledge of German is not required. We offer: An exciting
-
, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
-
, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
-
high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from academic or industrial fabrication. Key activities can include: Demonstration and experimental