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Field
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 24 hours ago
transfer algorithms for NASA GISS‘s general circulation model (GCM) to study radiative interaction and feedbacks between various atmospheric constituents and the climate system. Potential specific topics
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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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Language Models (LLMs) and their use in knowledge extraction. Keen interest in programming, algorithm development, mathematics, complexity, and puzzles. Two or more first-author publications and/or preprints
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technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation vehicle systems, identify opportunities
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This position focuses on the research and development of novel radiation detectors and associated edge-computing circuits and algorithms for X-ray, particle, and nuclear physics experiments
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research in deep learning models for multi-sensor satellite data (e.g. SAR, SMAP) within a large international research project on AI-driven solutions for groundwater management. Expected start date and
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position within a Research Infrastructure? No Offer Description This project proposes the development of flexible wearable sensors for application in agriculture, with a focus on monitoring plant health
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learning, or applied AI research. Interest and/or experience in multimodal or behavioral data collection (e.g., motion capture, acoustic analysis, wearable sensors, fNIRS, VR-based studies). Interest and/or
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, mineral, or biochemical analysis. •Use analytical equipment (pH meters, CO2 sensors, soil/root/plant sensors, chlorophyll fluorescence, etc.) and process samples using standard laboratory analytical