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-controlled subsystems. Hands-on expertise in one or more of the following areas: optical systems, lasers, spectroscopy, quantum optics, spin physics, magnetic resonance, precision measurement, electronics
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to undertake high-impact research in computer security, with a particular focus on advancing methods for analysing and securing system telemetry and provenance data. You will work closely with leading
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activities focus on topics such as: AI agents and computer-use agents Security, robustness, and trustworthiness of AI systems Evaluation, benchmarking, and testing of AI systems Runtime monitoring and
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to accelerate multiscale materials and flow sciences. Major Duties/Responsibilities: Collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists
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training and a significant track record in one of the following areas: -computational biology -computer science -electrical or computer engineering -genomics -neuroscience -population genetics / genomics
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quantitative modeling using R and/or Python. Experience with PK-modeling within NONMEM, R or Python environments. Strong general computer skills, with the ability to quickly master and implement innovative ML/AI
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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also provide shared office space, and a laptop computer. Further information can be found at https://piirs.princeton.edu/funding-fellowships/piirs-postdoctoral-fellows . This position is subject to the
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) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and
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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists