Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
seeking a highly motivated postdoctoral scientist to carry out a collaborative research project at the intersection of computational biology and systems virology. Our laboratory takes a systems biology
-
the group of Prof. Dr. Barbara Wohlmuth is a project-independent research position without teaching obligations. It offers the opportunity to pursue project-independent research in one of the group’s numerous
-
Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by (Prof. Dr
-
data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
-
algorithms, preferably in the domain of QC, such as QAA and QAOA Experience in cloud computing and building cloud computing infrastructure Interest and/or experience in developing and conducting lectures and
-
] Subject Area: Representation Theory Appl Deadline: 2025/07/31 11:59PM (posted 2025/07/01) Position Description: Position Description The TUM School of Computation, Information and Technology at the Technical
-
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 2 months ago
Experience in HPC computation (application and algorithm/code development) Willingness to closely collaborate with experimentalists and theoretician. Joint research approach of all ERC synergy team members
-
that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
-
methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems