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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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Post Award Fin Coord - Job Number: 252725 Organization : Obstetrics and Gynecology Job Location : Oklahoma-Oklahoma City-Health Sciences Center Schedule : Full-time Work Schedule: Monday-Friday 8am
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. Implementation of signal detection algorithms and triangulation ; 4. Planning and participating in field tests to evaluate system performance; 5. Reporting and disseminating the work developed (ideally with a
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and time via their student email in late March / early April Shortlisted applicants must be available for the designated interview time Interviews will be scheduled between 25 March and 22 April 2026
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(three) months, on an exclusive basis, with the possibility of renewal until the project end, date scheduled for the 30th of June 2026. Form of presentation of applications: Applications may be sent by e
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to the designated work site at least three times per week or a minimum of 60% of their regular work schedule at their own expense. At the NRC, we recognize that Indigenous candidates may have important connections
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awarded a scholarship, we'll notify you by phone, then email you with further details. Interviews are currently scheduled for mid April 2026 (subject to change). Conditions You can: apply if you hold
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scheduled and/or as requested and telecommute as scheduled) At CSUN we aspire to continually grow as an inclusive, cooperative community! CSUN strives to be a destination workplace, where everyone understands
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, abilities which require assessments Working Conditions / Physical Requirements: None. Working Schedule: Monday - Friday 8am - 5pm, with a remote (hybrid) options available. Additional Information: Kent State