8 phd-data-mining Postdoctoral research jobs at University of California, Los Angeles
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fellowship in the laboratory of Dr. Anil Sapru. Applicants need to have a PhD in fields of translational health sciences or molecular biology, with experience in high throughput omics data analysis
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medicine for patients with various cardiopulmonary disorders. Collaborating with developmental and stem cell biologists, data scientists, clinicians, bioengineers, and entrepreneurs, our team is united by
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of machine learning methods applied to biomedical data. The successful candidate will work closely with Dr. Corey Arnold and a cross-disciplinary team of faculty, staff, and trainees. Individuals with
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well as other prominent SSGAC researchers including Patrick Turley (USC) and Aysu Okbay (Amsterdam UMC). Key Responsibilities • Develop and apply mathematical and statistical models for analyzing genetic data
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invites applications for a postdoctoral position. Under the mentorship and supervision of Dr. Lauren E. Wisk, the individual will conduct the statistical data analyses for the aims of a federally-funded
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to biomarker analyses and molecular biology • Ability to work simultaneously on multiple projects and quickly adapt to new tasks • Excellent communication skills and ability to work with computational and data
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. • Mentor graduate and undergraduate students in laboratory techniques and research methodology. • Maintain rigorous documentation of experimental procedures and data analysis. • A Ph.D. or M.D. is required
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to an independent research career. Duties and Responsibilities: Model complex datasets including imaging, gut microbiome, inflammation, metabolic markers, behavioral, diet, and clinical data. Coordinate