Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
economics, psychology, engineering or computer sciences: e.g. M.Sc. in economics, M.Sc. in industrial engineering, M.Sc. in information management, M.Sc. in psychology Independent of their background, all
-
consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
-
39 Faculty of Computer Science Startdate: 01.11.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 05.07.2025 Reference no.: 4249 More than
-
profile in applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling, ecology and
-
written), fluency in German is an advantage; good computer literacy and skills; strong communication (both oral and written in formal and informal situations), presentation and organisational skills; target
-
instrumental analytical methods and, on the other hand, will deal with the computer-aided analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and
-
to analyze and reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be
-
. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
-
actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models
-
Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize