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professors, two postdocs, and five PhD-students. The group focus on high-quality applied research. The current topics of interest in the group include student learning, transitions and career, teacher
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learning as well as a strong background in scientific programming (in languages like Julia, Python, Fortran or C/C++). The applicant must hold a PhD in physical oceanography, atmospheric sciences, computer
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level, although applications at all ranks (Assistant, Associate, and Full Professor) will be considered. We welcome applicants who use AI and machine learning to drive the discovery and analysis
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level, although applications at all ranks (Assistant, Associate, and Full Professor) will be considered. We welcome applicants who use AI and machine learning to drive the discovery and analysis
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R260137 Posting Link https://www.ubjobs.buffalo.edu/postings/64262 Employer Research Foundation Position Type RF Clerical/Technical Job Type Part-Time Appointment Term Salary Grade N.11 Posting Detail
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R260137 Posting Link https://www.ubjobs.buffalo.edu/postings/64262 Employer Research Foundation Position Type RF Clerical/Technical Job Type Part-Time Appointment Term Salary Grade N.11 Posting Detail
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expansion project. All applicants whose work would contribute to advancing biological knowledge through machine learning or other quantitative/computational methods are encouraged to apply, including those
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% of your time), including tutorials and supervision of Bachelor’s theses. This is what we ask of you This is an interdisciplinary project that combines machine learning and AI, probabilistic risk
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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. Duties/Responsibilities: 1. Data Management, Review, & Analysis (70%) Advanced Neural Signal Processing: Apply quantitative analysis, signal processing, and machine learning methods to high-dimensional EEG