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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 23 hours ago
*Applications will be reviewed on a rolling-basis. FDA Office and Location: A research opportunities are available immediately with the Food and Drug Administration (FDA), Center for Drug Evaluation
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their science interests within an inclusive environment for active research, learning and service. They will become the Principal Investigators for the next generation of astronomical research projects
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platforms, including robotic systems, laboratory automation, and AI/machine learning-assisted approaches for experimental design, optimization, and materials discovery. The research will target advanced
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research dissemination activities. Collaborate with interdisciplinary researchers and supervise student assistants involved in the project. Job Requirements: PhD in Information Systems, Business Analytics
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research in machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and support to any
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strong international track record in content provenance and authenticity research spanning computer vision, watermarking, machine learning, privacy-preserving technologies and open standards. We have
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technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word
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. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental
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strong international track record in content provenance and authenticity research spanning computer vision, watermarking, machine learning, privacy-preserving technologies and open standards. We have
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- $141,545.09 + 17% super (Academic Level B) Based at our St Lucia Campus About This Opportunity Join a visionary and collaborative statistical genomics research environment led by Professor Loic Yengo