Sort by
Refine Your Search
-
into goal-directed behavior. We use state-of-the-art approaches including functional brain imaging, automated behavioral analysis, and computational neuroanatomy. We value a collaborative atmosphere, early
-
-of-the-art infrastructure to study the chemical diversity, biochemical interactions and biological functions of small natural product molecules in plants and fungi ( https://www.ipb-halle.de/en/ ). Research
-
biological catalysts — under operational conditions. Your Responsibilities: Develop and implement in situ EPR methodologies on state-of-the-art spectrometers Conduct research at the intersection
-
of advanced nanomaterials with focus on PCLs beyond the state of the art a dedicated supervision concept with a dual mentoring strategy of TUD and FAU (supervisor and co-supervisor from the partner university
-
of the planned research program, evaluation and interpretation of the results and transferring them to a RTG internal ex-change platform, elaboration and presentation of the state-of-the-art in the respective
-
. Of particular importance is the improved understanding of multi-length scale phenomena responsible for the energy conversion, development and implementation of state-of-the-art lead-free perovskite materials
-
research and training in the field of advanced nanomaterials with focus on PCLs beyond the state of the art; a dedicated supervision concept with a dual mentoring strategy of TUD and FAU (supervisor and co
-
Information When you apply for a position with the University of Stuttgart, you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art
-
properties of individual molecules doped into state-of-the-art materials used in OLEDs. The project will apply single-molecule microscopy and spectroscopy techniques to obtain information about the degree
-
: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry