16 big-data-and-machine-learning-phd Postdoctoral positions at University of California, Merced
Sort by
Refine Your Search
-
team at the interface of experiment, big data, and statistical learning. Responsibilities of this position will include: Develop high-throughput assays and validate the results. Work with data scientists
-
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
-
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
-
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
-
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
-
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
-
in one or more of the following: Quantum vibrational dynamics and structure, multireference electronic structure, attosecond electron dynamics, and machine learning and pattern recognition of quantum
-
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, machine/deep/federated learning
-
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
-
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