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Experience in one or more of the following areas is preferred: Statistical genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data
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experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment. Our research focuses primarily on substance use disorders and
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candidates with a Ph.D., in microbiology, biochemistry, biology, or a related field, with a strong interest in studying oxidative protein folding in bacteria and targeting this process in pathogens. High
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related field, with a strong interest in studying oxidative protein folding in bacteria and targeting this process in pathogens. High degree of initiative, time management and professionalism, very
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to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health. Bioinformatics and Biomarker Analysis in Kidney Disease
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Alzheimer’s disease pathogenesis and neurodegeneration. Ongoing projects investigate microglial signaling pathways, neuroimmune interactions, genetic risk factors, and therapeutic targets using state-of-the-art
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neurodevelopment in rodent seizure models. Our primary goal is to identify molecular targets for novel treatment strategies. The laboratory employs a variety of molecular techniques, longterm continuous EEG