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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
first ultra-lightweight drone transient electromagnetic (TEM) system for high-resolution subsurface mapping. The project combines novel instrumentation, advanced signal processing, real-time physics
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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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acquisition. • Must have proven scientific competences within agricultural engineering, automation, signal processing, as well as data processing and interpretation. • Experience with acquisition of
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computational support for the processing, analysis, management, and interpretation of genomic data, thereby supporting scientific staff in their research activities and collaborative projects: Supporting the
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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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, analytical measurements, data processing, and collaboration with researchers and project partners across the value chain. We are looking for a candidate with a background in biotechnology, environmental