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Field
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practices. Within this framework you will: extend and use a process-based modeling approach which explicitly represents microorganisms and biomolecule functioning in soil systems. use process-based modeling
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: Excellent study or research performance You possess high scientific integrity Master’s degree (or equivalent) in immunology, biology, biomedicine, microbiology, bioinformatics or similar Knowledge in
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-like AI models which can predict DNA structures Performing experiments for validation Participation in conferences in Germany and abroad (incl. presenting your research results) Preparing scientific
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to, performing chemical synthesis under inert gas conditions (e.g., Schlenk techniques and glove box). Hands-on experience in analysing organometallic compounds using spectroscopic and spectrometric methods is
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microbial communities and plant performance, and will assess the legacy of such effects on plant performance across subsequent generations (plant-soil feedback). The results will support the development of a
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, optimize and extend existing setups, develop a novel setup to perform an absolute radiometric calibration Perform a line-of-sight calibration to precisely align the instrument’s viewing geometry with
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cutting-edge chemical ionization mass spectrometry, the project will perform field measurements across European cities, with a Zeppelin-based airborne platform capturing the “urban breath” of major
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic performance in fuel cell (biogas) and co-electrolysis