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-based, and machine-learning approaches - Identifying markers of intelligent, intentional, and malicious manipulations of detection systems - Developing detection and classification methods to distinguish
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(awarded, submitted or near completion) in artificial intelligence, machine learning, robotics, computer science, biomedical engineering or a closely related discipline Demonstrable research experience
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/technology skills required, or possess the ability to easily obtain the needed skills. (Microsoft, Canvas and/or other Learning Management Systems (LMS), variety of WEB based programs, etc. Strong written and
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Learning Your role and goals Trustworthy & Adversarial Computing Lab (https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in trustworthy
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applications for a tenure track Assistant Professor of English specializing in World Literature and/or Comparative Literature and Media teaching a 3/3 load to begin August 2027. Candidates must hold a PhD in
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leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The
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analysis, model selection, network data analysis, penalized likelihood models, predictive modeling, spatial and spatio-temporal modeling, statistical genetics and genomics, statistical and machine learning
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. Minimum Qualifications PhD in computer science, machine learning, computational neuroscience, cognitive science, psychology, statistics, applied mathematics, or a closely related field. Candidates who will
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to validate the tools against practical design requirements. The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning
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programs Posting Summary Rutgers School of Nursing, Entry to Baccalaureate Division seeks nursing professionals to teach a CLINICAL, SIMULATION, or LAB component for the following specialties: Psych/Mental