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cross-disciplinary research programme in molecular structural biology, addressing key questions in RNA and infection biology, eukaryogenesis, and the muscle cytoskeleton. The Unit's research efforts focus
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reproducible scale-up protocols and develop standard operating procedures. Support multiple projects within the group requiring scale-up and contribute to cross-functional teams. Interface with external partners
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on FNR’s prestigious PEARL program, and has the option for an affiliated professorship. Both LIH and DFKI pledge their full commitment to ensuring that this new position becomes a cornerstone in the
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) are the sentinel of the immune system. DCs are developmentally and functionally heterogeneous and encompass multiple subsets including XCR1+ IRF8+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and
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functionally heterogeneous and encompass multiple subsets including XCR1+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and plasmacytoid DCs. DCs are short-lived cells continuously developing from
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on baseline patients’ profile. Finally, we aim at enriching spatio-temporal treatment response models accounting for multiple imaging modalities (PET – CT) along with clinical and biological informations
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for multiple imaging modalities (PET – CT) along with clinical and biological informations. Typical data-driven approaches are characterized by lack of interpretability and scalability problems, due
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encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work
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the value of each client's dataset [20-22]. These issues are highly relevant in the developing data economy where multiple online data exchange platforms, such as AWS data exchange [23] and Dawex [24
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown