128 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköpings-University" positions at Yeshiva University
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well as applications of multi-level modeling, machine learning, and/or AI for clinical prediction and estimation of novel dynamic phenotypes related to brain health and disease risk. The Program Director will report to
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Provide computer programming support of Beren Residence Life (including applications, check in, key and room assignments) Meet with graduate and undergraduate students about concerns, room changes
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Experience & Educational Background: High School Diploma required, Bachelor’s or Master’s degree preferred Skills & Competencies: Strong computer skills Ability to navigate the Internet as well as conducting a
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initiatives in support of Division scientific goals · Collaborate with staff implementing advanced data pipelines, including applications of machine learning and AI for clinical prediction and identification
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software, including SPSS. Experience with survey software (e.g., Qualtrics) and the administration of psychodiagnostic and cognitive assessment measures and computer-based data collection would be
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, national, and international organizations Developing research and grant opportunities . Experience & Education Background: Ph.D. in Computer Science, Computer Engineering or its related field from
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documentation and diagrams as needed when assets are added or removed Other duties as assigned ADDITIONAL RESPONSIBILITIES Assist personnel of other departments as a computer resource Provide on-the-job training
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machines, and telephones Knowledge of guidelines for recruitment, selection, and promotion is required Knowledge of the disciplinary and grievance procedures of the university is required Ability
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but not limited to PC’s, two-way radios, cell phones, cameras, copy machines, and telephones Knowledge of guidelines for recruitment, selection, and promotion is required Knowledge of the disciplinary
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Position Summary: Adjunct Faculty (Part-time) who may be qualified to teach any subject in the social work master and/or doctoral curricula either online, face to face, and or hybrid. While we