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limited to thermal cameras, audio recorders, air and other environmental samplers, and environmental sensors. In addition, this position will represent NSF-CPI in interactions with various partners and
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively with
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), quantum information science (sensing and simulations), and artificial intelligence/machine learning. Research areas highlighted for 2026 include ATLAS, rare event searches with quantum sensors, DUNE
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dataset from various internal and external resources. ● Understand and apply best-in-class algorithms to address biological and clinical questions. ● Collaborate effectively within an interdisciplinary team
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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. Interest in clinical algorithm development and dexterity with biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serially obtained somatic and
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. The second pertains to a NASA-funded project to design and fly an airborne water vapor Lidar sensor at supersonic speeds. In either role, the successful applicant will apply optical analysis techniques (theory
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with applications to aerospace systems Designing, implementing, and testing control algorithms in simulation and hardware platforms Contributing to publications and reports; presenting research findings