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position The Laboratory of Causal Systems Immunology is looking for a PhD student or postdoctoral researcher to advance in vivo perturbational screening. We have developed single-cell CRISPR technologies
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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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offers the opportunity to turn advanced photoemission into a routine, high-impact capability for probing the chemistry and electronic structure that govern tomorrow’s semiconductor technologies. Today
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-based information systems using both quantitative and qualitative approaches. Investigating and applying AI as a research method in IS e.g., computationally intensive theory construction Prepare research
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for a highly motivated postdoc candidate to join our team at the University of Liège. You will join several other postdoctoral researchers, PhD students and staff (chemists, biologists, physicists
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controls, by contributing to the construction and commissioning of new compact seismic isolation systems for Advanced Virgo+ Phase 2. A major upgrade planned for the O5 observing run is the installation
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conferences and publish in scientific journals You contribute to the supervision of PhD students working in these areas Your profile Excited to bring biology into the agentic era Broad interest across
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structures) and the incidental learning of new patterns. To this end, we employ a range of methods, with a focus on behavioral experiments and electroencephalography (EEG). What are your tasks? At least 70% of