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skilled postdoctoral researcher to lead multifaceted machine learning projects harnessing large-scale genomic, transcriptomic, proteomic, and imaging and clinical data. The researcher will have access
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ligands suitable for theranostic application. Required Qualifications: PhD in organic chemistry or related field Required Application Materials: CV Brief statement of research experience/interests Stanford
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that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage metadata. The position will have the
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learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related
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, minimal residual disease (MRD) detection, and the multi-omic characterization of various cancer types. Required Qualifications: PhD in related fields such as computational biology, cancer biology, and
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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identifying and managing patients with referral-warranted oculoplastic disease. Required Qualifications: - MD or PhD with experience in cell culture, data gathering, data analysis, statistics, and scientific
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Posted on Tue, 01/14/2025 - 15:51 Important Info Faculty Sponsor (Last, First Name): Mallick, Parag Stanford Departments and Centers: Radiology Biomedical Data Sciences Postdoc Appointment Term: 3
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advance this vital area of research. Required Qualifications: PhD in immunology, microbiology, cancer biology or other life sciences fields. Extensive animal laboratory experience (at least 1 year) is
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prior pollutant data measurements in homes and commercial kitchens (e.g., https://pubs.acs.org/doi/10.1021/acs.est.1c04707; (link is external) https://pubs.acs.org/doi/10.1021/acs.est.2c09289 (link is