{"schemaVersion":"jobsearcher.job.v1","id":"44a7bf8fafbc26d6fb97a115","url":"https://jobsearcher.com/jobs/44a7bf8fafbc26d6fb97a115","canonicalUrl":"https://jobsearcher.com/jobs/44a7bf8fafbc26d6fb97a115","title":"3rd Showcase 2023","description":"The 3rd joint showcase between NCI and Intersect Australia is entitled:Artificial Intelligence and Machine Learning in Cancer ResearchFour expert presentations showcase state-of-the-art research activity aimed atenhancing cancer research by integrating artificial intelligence (AI) and machinelearning (ML) techniques. Internationally renowned speakers reveal how large, high-quality datasets coupled with ML and analysis algorithms can play a vital role in the process of cancer research. The presentations are of great interest for scientists interested in the field of AI / ML in tissue imaging, cancer diagnosis, drug design, and treatment – and more broadly in biomedical applications – from graduate research students to early career researchers and beyond.Click Here For The Showcase Flyer♦ SPEAKERS ♦ PROGRAMCLICK HERE FOR THE COMBINED RECORDINGIndividual Presentations AvailableDr. Jennifer Couch, National Cancer InstituteOpportunities and Barriers to Effective Use of AI in Cancer ResearchDr. Yitan Zhu, Argonne National LaboratoryComputational Prediction of Anti-Cancer Drug Response in Preclinical Drug Screening Experiments Using Machine Learning and Deep Learning ApproachesDr Jayashree Kalpathy-Cramer, University of ColoradoOpportunities and Challenges for Medical Imaging AI: Lessons from OncologyDr. Fred Prior, University of Arkansas for Medical SciencesGenerative Adversarial Networks for Synthetic Cancer DataModerator: Dr David Chalmers (Monash University)This event is supported by Intersect and NCI Australia.","company":"Intersect","rawCompany":"intersect","city":"Bakersfield","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-10T09:39:47.914Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"19-1042.00","title":"Medical Scientists, Except Epidemiologists","slug":"medical-scientists-except-epidemiologists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"622110","title":"General Medical and Surgical Hospitals","slug":"general-medical-and-surgical-hospitals"},{"code":"622310","title":"Specialty (except Psychiatric and Substance Abuse) Hospitals","slug":"specialty-except-psychiatric-and-substance-abuse-hospitals"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"3rd Showcase 2023","description":"The 3rd joint showcase between NCI and Intersect Australia is entitled:Artificial Intelligence and Machine Learning in Cancer ResearchFour expert presentations showcase state-of-the-art research activity aimed atenhancing cancer research by integrating artificial intelligence (AI) and machinelearning (ML) techniques. Internationally renowned speakers reveal how large, high-quality datasets coupled with ML and analysis algorithms can play a vital role in the process of cancer research. The presentations are of great interest for scientists interested in the field of AI / ML in tissue imaging, cancer diagnosis, drug design, and treatment – and more broadly in biomedical applications – from graduate research students to early career researchers and beyond.Click Here For The Showcase Flyer♦ SPEAKERS ♦ PROGRAMCLICK HERE FOR THE COMBINED RECORDINGIndividual Presentations AvailableDr. Jennifer Couch, National Cancer InstituteOpportunities and Barriers to Effective Use of AI in Cancer ResearchDr. Yitan Zhu, Argonne National LaboratoryComputational Prediction of Anti-Cancer Drug Response in Preclinical Drug Screening Experiments Using Machine Learning and Deep Learning ApproachesDr Jayashree Kalpathy-Cramer, University of ColoradoOpportunities and Challenges for Medical Imaging AI: Lessons from OncologyDr. Fred Prior, University of Arkansas for Medical SciencesGenerative Adversarial Networks for Synthetic Cancer DataModerator: Dr David Chalmers (Monash University)This event is supported by Intersect and NCI Australia.","datePosted":"2026-08-10T09:39:47.914Z","dateModified":"2026-08-10T09:39:47.914Z","hiringOrganization":{"@type":"Organization","name":"Intersect","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bakersfield","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"44a7bf8fafbc26d6fb97a115"},"url":"https://jobsearcher.com/jobs/44a7bf8fafbc26d6fb97a115"}}