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• The advancement of light-microscopy methods to peer even deeper into large tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and
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maintain pipelines for the analysis of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs
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Seppelt, Director of the Luxembourg Centre for Socio-Environmental Systems (LCSES) Email: Your profile The successful candidate will apply modern data science techniques, including the analysis of large
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apply modern data science techniques, including the analysis of large-scale datasets and advanced modelling approaches, to study the resilience and sustainability of food systems. A key focus of the role
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Associate Professor (Independent Group Leader) in Data Science and Modelling of Whole-Cell Biosol...
to implement standardized experimental protocols, harmonized data formats, and transparent documentation practices—laying the foundation for reproducible and collaborative research in biofertilizer innovation
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direct access to systems medicine approaches rang-ing from single cell techniques to large human cohort studies and including multi-model omics technologies, as well as to state-of-the-art high-dimensional
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through text, images, networks, … A similar situation can be encountered in the context of medical data, where the data types may be even more large. It is therefore of strong interest to be able to analyze
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collaborative translational research groups within Loyola’s Cardiovascular Research Institute (CVRI) and the Center for Healthy Aging and Resistance Mechanisms (CHARM). Additional information on the departmental
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine
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urban campus, BSL-3 research faculty also benefit from a large and collaborative microbiology and immunology research community spanning multiple Departments including Pathology, Microbiology