10 condition-monitoring-machine-learning Postdoctoral positions at University of Kansas
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% - Carry out primary, NIGMS-relevant research in a supportive, mentored environment. Projects will vary depending on the research group the successful candidate joins. Candidates will learn both domain
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for IES and other agencies, including literature reviews, pilot studies, and grant applications in order to learn how to write and submit a competitive application. 15% - Attend/monitor agreed upon courses
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are conditional hires and are appointed on an interim basis not to exceed 6 months. Preferred Qualifications Previous experience in experimental physics, as evidenced by application materials. Previous experience
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deemed by the supervisor. Salary, Employment Status, and Fringe Benefits: This position has an expected salary of $60,000-$65,000 annually, commensurate with experience. Other benefits include university
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projects that use the Self-Determined Learning Model of Instruction (SDLMI), the Self-Determined Career Design Model (SDCDM), the Self-Determination Inventory and other interventions and assessments designed
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Application Review Begins 21-Jul-2025 Anticipated Start Date 15-Sep-2025 Primary Campus University of Kansas Lawrence Campus Employee Class U-Unclassified Professional Staff Conditions of Employment Limited
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Researcher title, it is necessary to have the PhD in hand. Appointments made without a diploma or certified transcript indicating an earned doctorate are conditional hires and are appointed on an acting basis
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certified transcript indicating an earned doctorate are conditional hires and are appointed on an interim basis, not to exceed 3 months. This position requires a formal degree in the cited discipline area(s
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indicating an earned doctorate are conditional hires and are appointed on an Acting basis not to exceed 6-months. Appointment duration will be extended upon final verification of degree. This position requires
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discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender