Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Humboldt-Universität zu Berlin
- Leibniz
- Technical University of Munich
- University of Greifswald
- ;
- College for Social Sciences and Humanities
- Deutsches Elektronen-Synchrotron DESY
- German Cancer Research Center
- Max Planck Institute for Comparative Public Law and International Law, Heidelberg
- Max Planck Institute of Biochemistry, Martinsried
- Nature Careers
- Philipps University Marburg
- Stanford University;
- Universitätsklinikum Hamburg-Eppendorf
- 5 more »
- « less
-
Field
-
and development. About your role: Condensed matter physics Atoms, Molecules and Optics Laser physics Detector development Structural Chemistry Structural Biology About you: Ph.D. completed within
-
description: - scientific services in research within the BMBF-project “ATLAS”, especially development of digital twins for liver cancer therapy evaluation/ development of patient-specific models decision
-
information about the Cluster of Excellence can be found at https://theoceanfloor.de . The postdoctoral fellows are invited to develop their own research project aligned with the research portfolio
-
candidates are welcome to submit their applications via the website of the College until 15 May 2026. Call for applications: https://www.college-uaruhr.de/fellowship/application/call-for-applications Where
-
development of analyses and computational models of behavior and cortical functions tasks for personal scientific qualification (doctorate) Requirements: completed scientific university degree in neuroscience
-
30.11.2026) The European project SolMates (Scalable High-Power Output and Low-Cost Made-to-Measure Tandem Solar Modules Enabling Specialised PV Applications) aims to develop novel technologies for lightweight
-
Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
-
. Volker Haucke. The successful candidate will collaboratively apply and develop proteomic approaches to study the protein composition of organelles at the nanoscale level to unravel how cellular organelle
-
prevention Cell biology and tumor biology Developmental Biology Epidemiology Genomics Medical Technology Metabolomics Molecular imaging and radio oncology Redox biology Tumor immunology and immunotherapy
-
-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis