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Field
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. Evidence of ability to analyze, interpret and disseminate findings through peer-reviewed scientific publications (first or corresponding author) and conference oral and/or poster communications. Position
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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Scholar to develop and pursue independent projects during their training. The Beach and Oakes labs broadly investigate how cells generate and interpret mechanical signals using cell culture models and
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documents. Contribute to grant applications. Postdoc Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret the results
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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respiratory distress syndrome (ARDS), or on lung responses to inhaled e-cigarette vapor. The position involves both basic and translational research under the direction of a Principal Investigator. Job
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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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. Experience using laboratory analytical instruments (e.g., DLS, HPLC, Langmuir-Blodgett, spectroscopic methods etc.). Ability to work in inert conditions (Glowbox, Schlenck lines) Ability to interpret NMR