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parallel project carried by another postdoc, which is focused on similar investigation on brain cells in donated postmortem brain tissue. You will be employed in the project Evaluating STING
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, reliability, cost-effectiveness, and sustainability across applications. In parallel, we advance microgrid technologies, supporting developing countries in achieving climate neutrality by integrating
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-based surrogate models. Experience with high-performance and parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two
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-genome sequencing and resequencing data from non-model arthropods, particularly insects and spiders. A substantial part of the work will involve processing and analyzing genomic data from historical
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upgrades on existing HTL-WO pilot plant chemical analysis of HTL products, data processing and analysis from experimental campaigns to produce scientific publications and reports active participation in
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, and innovation. Our research spans signal processing, machine learning, digital twins, and intelligent systems — all with a strong emphasis on real-world impact and societal relevance. This
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a pivotal role as the principal SCS crystallographer. Key responsibilities will include outreach, SCXRD data collection, data processing, structure solution, and user support. To make SCS a success
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transport, storage, cleaning/disinfection and processing conditions. Where work with high-consequence agents is not feasible, appropriate surrogates, indicators or non-infectious materials will be used
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-gas emissions using a hyperspectral camera. We are currently focusing on methane. The work will include processing and analysing hyperspectral observations and developing and validating methods for
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associated thermodynamic calculations Experience with microbial inhibition models Model-based data processing Excellence in both written and spoken English You will be working in the research group