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to one or more of the following areas: Renewable energy systems and photovoltaic technologies Smart grids and power systems Battery energy storage systems Artificial intelligence and machine learning
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diffraction data where the information extends towards 3-d space. Machine learning offers promising approaches for the solution of complex problems of disorder, ultimately aiming at general and automated
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past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
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Apply Now How to Apply Apply through http://careers.umich.edu/ (click on ?APPLY NOW? box on upper right corner of this page). Applications will only be accepted from a current CIS Department
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an
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California State University, San Bernardino | San Bernardino, California | United States | 13 days ago
, extended vacation and MSAs); leave status and accruals (vacation, holiday, sick, jury duty, bereavement, LWOP, AWOL, military, NDIL, IDL and compensatory time); and, changes in pay status (appointments, end
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department or related area. 2 years supervisory or leadership experience in overseeing staff. Work experience with computer systems and applications on a computer. Skills: Strong knowledge of admissions
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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, appropriately communicating with administrators, coaches, support staff, team physicians, and other medical personnel; and other duties as assigned. Required KSAs/Competencies/Qualifications Basic computer skills
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for additional leave accruals based on their total years of service in the military, National Guard or Reserve. For more information please visit: https://www.dhrm.virginia.gov/employeebenefits . In support of