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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography
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the arts, business, education, health, humanities, social sciences, and STEM. The University’s curriculum is grounded in the liberal arts and sciences and emphasizes experiential learning. Located only a few
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. Knowledge, Skills and Abilities Knowledge of computer/audiovisual software and technology, including learning management systems and supplemental instructional platforms. Knowledge of evidence-based nursing
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extending an offer. Candidates should have a PhD, or candidates must have successfully defended their doctoral dissertation prior to appointment, and are expected to be productive researchers and effective
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is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist career path. The planned
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) from public repositories (including dbGaP). Develop and apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients
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neuroscience or related field of the life sciences. A PhD in engineering/computation are also acceptable, depending on your skills and experience. A passion and persistence to explore mechanisms of learning
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. The role combines rigorous research methodology with advanced analytics, machine learning, and AI to evaluate interventions, improve care delivery, and support operational excellence. Candidates should have
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invite applications from those who hold a PhD (or equivalent) in the relevant field(s) (we require all tenure track faculty to have a PhD or equivalent). Members of our faculty are expected to conduct