8 software-formal-method-phd Postdoctoral positions at University of California, Merced
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) data analysis, or (c) design and implementation of novel field and lab experimental methods. Qualifications Basic qualifications PhD in soil science, ecology, earth and environmental sciences, and
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. • Preference may be given to applicants with experience with biological materials such as fungi, including culturing methods. • Basic experience with software such as MatLab, Python, or R for data visualization
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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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for a full-time postdoctoral research position in Professor Henrik R. Larsson’s theoretical chemistry group at University of California, Merced. The position will involve developing new methods related
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imaging methods and techniques for direct thymus evaluation. The successful candidate will design, build, and iterate linear and non-linear optical systems for live animal imaging of the thymus. They will
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, such as excited state methods, QM/MM simulations, molecular dynamics, simulating spectra, analyzing charges and molecular or environmental configurations, along with experience coding in python. Application
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in Dr. Xiaoyi Lu’s PADSYS Lab to investigate scalable system software for emerging applications such as precision agriculture, digital twins, deep learning, and so on. The Postdoc will also be focused
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software developers. Prepare and present research findings at conferences, workshops, and seminars. Publish research outcomes in peer-reviewed journals. •Mentoring graduate and undergraduate students