11 big-data-machine-learning-phd Postdoctoral positions at University of California, Merced
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opportunity to work in interdisciplinary team at the interface of experiment, big data, and statistical learning. Responsibilities of this position will include: Develop high-throughput assays and validate
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quantitative, qualitative, and mixed-methods analyses, employ multiple social scientific methods, often in conjunction, including data collection and statistical analysis of large-scale data, among other
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systems, machine learning, and control theory. Experimentally validating these methods through field experiments. In addition to conducting research, the Postdoctoral Scholar will collaborate closely with
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Scholar position is currently open in Dr. Xiaoyi Lu’s PADSYS Lab, focusing on the exploration of high-performance and scalable systems for emerging scientific applications, real-time Big Data processing
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research in one or more of the following: Quantum vibrational dynamics and structure, multireference electronic structure, attosecond electron dynamics, and machine learning and pattern recognition
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wildtype fungal structures or culturing and growing them in the lab. Perform characterization tests including imaging, mechanical, and chemical testing and subsequent analysis. Analyze data to create
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in Agriculture • Machine learning models for pest and disease prediction • Crop classification using multispectral imagery • Digital twin models for farm simulation and management • Collaborate with
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qualifications Candidates should have training or experience with biomedical optics and intravital imaging. Experience with optical system design, circuit design, and computer programming will be particularly
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excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural
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involved in related research projects. Qualifications Basic qualifications A Doctoral degree (or equivalent) in computer science, computer engineering, electrical engineering, or a related field. Additional