150 embedded-system-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
! The position is located in the research group of Prof. Dr. Stefan Schlatt with a main focus on testicular stem cells. The project is embedded in the DFG-funded Collaborative Research Centre 1748 ‘Principles
-
The Max Planck Institute for Intelligent Systems (MPI‑IS) seeks to advance intelligent systems that perceive, learn, and interact through fundamental research across computational, physical, and
-
Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for the society and the environment. It is our goal to make significant
-
“Systems Neuroscience” We are seeking an outstanding, internationally recognized scientist with an excellent track record in the field of modern neuroscience. Candidates should possess a distinctive research
-
Hannover Medical School (MHH), Institute of Virology, located at the Centre for Structural Systems Biology (CSSB) in Hamburg-Bahrenfeld, invites applications for a W1 university professorship for
-
and talented optics engineer to design, build, and implement novel optical devices for brain-wide imaging and neural circuit manipulation. Key Responsibilities: Develop advanced optical systems
-
Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials
-
PhD position in Metabolic microbiome modelling Research Group Medical Systems Biology, Institute of Experimental Medicine The University Medical Center Schleswig-Holstein is one of the largest
-
for Biomedical Data led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction . The CRC 1748 involves scientists of the University, University
-
research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves