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, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
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Knowledge of laboratory maintenance and equipment. Knowledge of computers and computer software related to the position. Salary: Compensation will be commensurate based on the selected hire’s education and
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the University's research culture and collaborative profile. Qualifications: PhD in Computer Science/AI or a closely related field. Extensive research experience in machine learning, deep learning, and self
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servicing missions. Experience with machine learning techniques for robotic decision-making and intelligent control for tasks with high uncertainties. Experience with research on multi-agent collaboration and
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for the development of professional career skills, on-going technical and workplace learning, and an opportunity to apply subject matter expertise to new technologies, digital scholarship, creative writing, etc. All
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, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part
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element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
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. The research program embraces team science drawing from i.e., implementation science, data science, geospatial, epidemiological, and machine learning approaches to better understand broad contexts including
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communication journals Demonstrable proficiency in advanced quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential
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to learn and master CAPS computer software such as PNC and other software as needed (Preferred) Strong interpersonal skills - Required Demonstrated ability to work as part of a mental health team in