457 machine-learning "https:" "https:" "https:" "https:" Postdoctoral positions in United States
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topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work
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machine learning, modeling algorithms, and/or mapping applications. Applicants must have a PhD in ecology, wildlife sciences or geospatial modeling. Additional Information: Salary Information: Commensurate
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Partner School to teach and mentor undergraduate student, in support of developing an independent academic research career. Performs other related duties as assigned. FLSA Exempt Grade Salary Details
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the group of Dr. Tengfei Li at the University of North Carolina at Chapel Hill. The successful candidate will develop and apply advanced statistical and machine learning methods for infant cognitive
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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Strong background in quantum chemistry, computational physics, or machine learning; Proficiency in scientific programming; Excellent communication and scientific writing skills. Preferred Qualifications
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ability to interpret complex information and data. Advanced statistical analysis, machine learning and artificial intelligence knowledge and skills. Strong organizational skills, excellent oral/written
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assembly and annotation Experience working on computer clusters and handling large datasets Laboratory skills including DNA/RNA extraction and library preparation Demonstrated advanced bioinformatics skills