Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Nature Careers
- Biomedical Center, LMU Munich
- Helmholtz-Zentrum Geesthacht
- Karlsruhe Institute of Technology (KIT)
- Karlsruhe Institute of Technology •
- Karlsruher Institut für Technologie (KIT)
- Leibniz
- Brandenburg University of Technology Cottbus-Senftenberg •
- Dresden University of Technology
- Fraunhofer Institute for Wind Energy Systems IWES
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Helmholtz Zentrum Hereon
- International PhD Programme (IPP) Mainz
- Leipzig University •
- Max Delbrück Center
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Sustainable Materials •
- QUBIG GmbH
- Technical University of Darmstadt •
- Technische Universitaet Darmstadt
- Technische Universität München
- University of Kassel •
- University of Münster •
- University of Regensburg •
- University of Stuttgart •
- Universität Hamburg •
- 21 more »
- « less
-
Field
-
focus on synthetic biology, biochemistry and/or chemistry. • Practical experience in protein engineering (structural and sequence design), bacterial production (S1 lab conditions, E. coli), protein
-
nanoindentation, for generating their own data sets Your Profile: A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering
-
of Biology, the German Center for Neurodegenerative Diseases (DZNE-Munich), Helmholtz Center Munich, the Max Planck Institutes for Biochemistry and Biological Intelligence and the Innovation and Start-up
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
The Department of Process Systems Engineering (Director: Prof. Dr.-Ing. Kai Sundmacher) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting applications for the PhD
-
). Understanding these immune-modulating effects is essential to optimize ADC-based therapies. In our study, we plan to systematically investigate two clinically relevant HER2-targeting ADCs, each bearing distinct
-
mechanics (QM / MM) molecular dynamics simulations using a Quantum Centric Supercomputing (QSC) approach [1,2] for the QM problem. This will be integrated within the in-house MiMiC framework [3] and applied
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
batteries at the molecular level. Novel spectroscopic approaches are developed and applied to the characterization of materials under working conditions (operando/transient approach). Relationships between
-
the foundations of life from its most elementary building blocks to systems-wide mechanisms. By understanding what regulates or disrupts the equilibrium of a cell, an organ, or the entire body, we can prevent