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health technologies. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement
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structural response and support specialized simulations (e.g., crash/roadside safety when applicable). 20% 4. Support practical testing and validation (laboratory and/or field) related to SHM sensors/long-term
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Ocean. A second site, Mt. Soledad, was located 3-km inland from the Scripps Pier at an elevation of 250-m and housed Scanning Cloud Radars (SACRs) and a subset of the AMF remote sensors, including a
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
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Ocean. A second site, Mt. Soledad, was located 3-km inland from the Scripps Pier at an elevation of 250-m and housed Scanning Cloud Radars (SACRs) and a subset of the AMF remote sensors, including a
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developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps
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developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps
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working under the supervision of Prof. Jaideep Vaidya (the PI and Director, I-DSLA) to develop and analyze privacy-preserving solutions for biomedical data research, implementing the developed algorithms
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization