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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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will apply include endogenous protein tagging by CRISPR and integrases, in-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence microscopy
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–microbe interactions, and microbial pathogenesis. Research spans both cellular and molecular aspects of infections caused by bacteria, viruses, and fungi, as well as immune regulation of these processes
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endosymbiotic interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team
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until an excellent fit is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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gene-drug interactions. In order to decipher the genetic and gene-drug interactions, we use model systems like Drosophila, human cell cultures and patient-derived organoids in high-throughput screens
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to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host-pathogen interactions, iii) provide a platform for
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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ICT Services & Applications. Your role As a Research Associate (Postdoc) in the Ubiquitous and Intelligent Systems (UBIX) Research Group at the University of Luxembourg's Interdisciplinary Centre