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systems biology, drug-gene interactions, and network analysis. Projects will focus on advancing cutting-edge drug discovery programs for childhood catastrophic diseases using the latest approaches in
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implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves
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extant software in conducting data analysis for biomedical datasets. The Microbial Computational Genomics and Bioinformatics Core Laboratory in the Department of Host-Microbe Interactions (HMI) at St
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in the Center for Protein Design, you will be leading one or several research programs, spearheading computational design efforts to create proteins with new functions, developing AI methods
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pipelines. 4. Technology development and innovation: Work on custom hardware/software solutions for automation and workflow improvements. Apply scripting or programming languages (Python, MATLAB, etc
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must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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Biomolecular Sciences (CBS) in the Faculty of Science with a tenure-track appointment at the rank of Full Professor. The successful candidate will lead a world-class, creative, collaborative research program
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program, providing them with a deep understanding of the field and hands-on experience in informatics research. In addition to the primary informatics and research responsibilities, there is the potential
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experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and