Sort by
Refine Your Search
-
Category
-
Field
-
) to optimize the production of bio-based products in E. coli and other industrially relevant bacteria. You can find more information about our group at https://www.linkmetabolism.com . Your tasks: Design and
-
development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering experiments. For more information, visit our web page: https://www.soft
-
materials. For more information, visit our web page . Currently, there are several options for doctoral theses. Candidates interested in one of the following five areas are particularly encouraged to apply
-
Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
-
Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
-
Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
-
Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
-
within the i-RASE project (developing AI-based methods for detector readout and data pre-processing on board of satellite observatories), which is carried out by the institute's High Energy Astrophysics
-
catalysis, computational and theoretical chemistry and aims at broad training in synthetic chemistry as well as data-driven optimization of stereoselective catalysts. The project in our group focuses
-
PhD Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E 13 TV-L, 65%)
the project “Communicating Causal Information”, which is funded by the German Research Foundation (DFG) and is executed in a Germany-UK collaboration with Principal Investigators Prof. Dr. Michael Franke