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Field
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independently and in a group atmosphere, contribute to multiple projects, and mentor or train undergraduates and graduate students. Ability to quickly learn new topics, evaluate the literature, and think
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generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods
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will join a multidisciplinary team to work on cutting-edge research projects to develop and apply data mining/machine learning approaches on high dimensional biological and clinical datasets. The initial
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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the field of cybersecurity. Major Responsibilities Conduct high-quality research on the broader areas of cybersecurity, hardware security, privacy-preserving machine learning, and applied cryptography
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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., transcriptomics, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding UA benefits include health
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robotics, and human-machine interfaces. We are looking for an ambitious researcher who is looking to use this opportunity to grow towards the next level of research. The position is renewable each year based
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in Python, Machine learning, and Uncertainty Quantification in engineering applications, Preferred: Background in space weather and astrodynamics Excellent written and oral communication skills
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. Research Themes and Projects: We are an interdisciplinary research team integrating single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine