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on the those involved in immune-metabolism. Through this work, we aim to uncover new concepts in the metabolic regulation of immune function. The lab uses a combination of bioinformatics, biochemistry
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
. Bioinformatics analysis of sequencing data. Population genetics or evolutionary genomics. Applicants with extensive experience in highly degraded DNA (for example forensic, environmental, museum, or clinical
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on the those involved in immune-metabolism. Through this work, we aim to uncover new concepts in the metabolic regulation of immune function. The lab uses a combination of bioinformatics, biochemistry
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preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments
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-purposing opportunities. This position will be especially suited to candidates with interest in functional genomics, bioinformatics, lung cell biology and respiratory medicine. The successful candidate will
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) or bioinformatics with good understanding of biochemistry (subprojects 2,5,9) Proven prior knowledge in hub molecule relevant topics A high level of motivation and interest for topics of HubMOL High-level of
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bioinformatics analyses; Designing and conducting experiments integrating microscopy, transcriptomics, and microfabrication to provide mechanistic insights into the regulation of the vasculature; Driving
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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/biomedical innovation, Bioinformatics, Computational Biology, or a related field. An established record of high-quality research applying AI/ML, computational, data-intensive or related approaches to medical
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, MD/PhD, or MD) in computational biology, bioinformatics, biostatistics, cardiovascular biology, epidemiology, or a closely related field Experience with proteomic, metabolomic, or other omic data