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term projects include: developing novel semiconductor qubits with superior performance, scaling semiconductor qubit systems, and investigating multi quantum well structures for higher dimensional quantum
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algorithms for analyzing single-cell (multi)-omics data and design and perform in silico experiments to test them; be an active and responsible member of the research group and collaborate closely with fellow
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: performing laboratory experiments and field campaigns at the ICOS ecosystem station Loobos and other sites; quantifying soil microclimate, microbial activity, community composition and carbon cycling
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a Training and Supervision Plan, to structure the 4-year PhD trajectory. Perform the PhD research along four objectives: Analyse reward schemes for biodiversity – considering multiple actors (farms
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sensors themselves are reaching the point that they can meet the required performance, an essential final problem still needs to be resolved. Namely, the connection of the flow sensor chip to the outside
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chemical equilibrium is shifted to completion. This is called sorption enhancement. The bifunctional material will be loaded with water and for continuous operation of the process this must be regenerated
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(EO) data can be used to assess different facets of ecosystem functioning in grasslands and forests. Within the project, you will collaborate closely with other PhDs and postdocs to collect field data
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design with real-world materials performance and explore how sustainable polymers can be integrated into advanced applications. By bringing together photochemistry, polymer chemistry, recycling, and
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of transplantable donor livers. Your main responsibilities - Performing (long-term) ex vivo liver perfusion experiments using hypothermic and normothermic machine perfusion platforms. - Evaluating mitochondrial
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datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You