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-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous
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(Cornell), and David Rand (Cornell). In addition to being a core member of the research team, the fellow will be embedded within the FAR.AI research community, providing direct access to technical AI safety
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: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 8 hours ago
detecting safety signals, particularly valuable in early-phase trials with limited sample sizes where critical dose optimization decisions must be made. You will join a project to prospectively assess the use
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, Canadian citizenship is a requisite for obtaining Secret security clearance at Global Affairs Canada. Permanent residents are welcome to participate in this staffing process. However, since Secret security
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milestones are achieved. Carry out risk assessment and ensure compliance with Work, Safety and Health regulations. Work independently, as well as within a multidisciplinary team, to ensure proper operation and
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Full Time, Fixed Term contract up to May 2029 Closing date: 14th April 2026 Background CHASM is a multidisciplinary research centre for financial security, wellbeing and inclusion. We produce research
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. These efforts cover more than just medicines. Research Project: This research aims to leverage advanced technologies such as AI agents for causality assessments of individual case safety reports. Participation is
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
contribute to projects that are mandated under the 21st Century Cures Act (2016) Section 3022 (Drug Safety) to evaluate real-world evidence data on drug’s use or risks from sources other than clinical trials
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) explore advanced techniques on MLLMs that jointly model radiology images, pathology slides, genomics data and clinical narratives for hepatocellular carcinoma; (b) establish secure, regulatory-compliant