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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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and uncover yet unknown physiological particularities of sleep and other human health factors. Your Profile PhD (or near completion) in Biomedical Engineering, Computer Engineering, Computer
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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
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be found at: https://syllabi.iu.edu/ Responsibilities Full-time lecturer-track faculty commit to a balanced workload of teaching and service, which includes: · Teach graduate courses in the LIS
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advanced instrumentation (ACSM, Xact, SMPS…) and machine-learning techniques. The selected candidate will work in a multidisciplinary and international research environment, contributing to the assessment
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countries (HIC). The airm of this PhD project is to understand how E. coli colonization contributes tot he risk of diarrheal disease and infections with AMR and use this knowledge to design interventions
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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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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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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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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals