Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Leibniz
- Heidelberg University
- Max Planck Institute for Demographic Research (MPIDR)
- Fraunhofer-Gesellschaft
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- University of Tübingen
- ; University of Oxford
- Fritz Haber Institute of the Max Planck Society, Berlin
- HeiGIT gGmbH
- Heinrich Heine University Düsseldorf
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB)
- Max Delbrück Center
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for the History of Science, Berlin
- Max Planck Institute for the Study of Societies, Cologne
- Technische Universität Ilmenau
- University Hospital, LMU Munich
- 14 more »
- « less
-
Field
-
engineering, scRNAseq, proteomics etc. We offer a highly international, versatile, extremely well equipped and productive work environment. We have received funding by an international research organization
-
10 Mar 2025 Job Information Organisation/Company HeiGIT gGmbH Research Field Geography Information science Technology Geosciences Environmental science Researcher Profile First Stage Researcher (R1
-
26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
-
of Schleswig-Holstein (10%). It is one of the internationally leading institutions in the field of marine research. Through our research and our commitment to the transfer of knowledge and technology, we
-
Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
-
of RWTH Aachen University. The DWI is taking on the challenge of surpassing disciplinary limits and tackling new questions relating to materials that combine nature and technology. It is a place where
-
Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
-
`s degree in physics, chemistry, materials science, chemical engineering, or related disciplines Extensive knowledge of X-ray methods Knowledge of X-ray reflectivity Experience with vacuum chambers
-
study of artificial nanostructures with purpose-engineered quantum states Development of novel quantum sensors at the atomic scale Supervision and mentoring of masters and doctoral students Publication
-
possible date at the KlausTschira Institute for Integrative Computational Cardiology to join our interdisciplinary project at the forefront of RNA biology and sequencing technology. Project Overview