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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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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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of complex and large-scale biological data through the design and application of novel computational approaches. The DBC is looking for a scientist in the early stage of their career but with a proven track
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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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
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, 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 those
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environmental health sciences, epidemiology, or related field Experience with modeling and exposure estimation of ambient air pollution Experience working with large datasets, including electronic medical record