Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
-
and develop sample scenarios, roadmaps and trade-off analyses Develop software code and execute computational simulation Contribute to the design and development of an advanced test facility
-
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
-
School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems
-
policy, economic sociology, and international relations. Methodologically, it draws on and combines both quantitative and qualitative methods, with a particular focus on computational and multi-method
-
program, LeAD brings together experts from several disciplines, forming a consortium of eight beneficiaries and five associated partners (including three from industries). Through both local and network
-
strategies for selected spaceflight scenarios involving a system-of-systems architecture Design software architectures, and develop software libraries and perform computational simulations Lead the development
-
processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
-
integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
-
or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm