158 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Case Western Reserve University
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. Ability to work in a multi-disciplinary team. Proficiency in computer software use including Microsoft Office. Experience with SPSS or SAS is a plus. Willingness to learn and work with artificial
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student employees. QUALIFICATIONS Experience/Education/Licensing: High school education and 5 to 8 years of demonstrated experience in a related technical field OR an Associate degree in computer and/or
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prints. Technical proficiency in building maintenance and carpentry is essential. Must be able to identify. and repair problems without supervision. Basic computer skills; must be willing to learn Work
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customer service skills. Good verbal and written communication and computer skills Must be familiar with and able to operate fire, security and communications equipment once trained. Be able to operate a
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including but not limited to scRNA-seq, spatial transcriptomics, survival, regression, univariate, multivariate, machine learning and related analyses. Determine the appropriate computational requirements
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to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Ability to manage one's own time. Ability to actively learn; understanding the implications of new
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including set-up and tear down of equipment, standardized patients and supplies for all simulation activities. (30%) Instruct users and supervise the use of equipment and technology. Enforce policies and
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to face. Ability to meet consistent attendance. Available to work outside of regular office hours as required. Computer proficiency (including Microsoft Office) and the ability to learn new programs
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skills required. Must be able to work both independently and collaboratively with colleagues. Computer proficiency (including Microsoft Office) and the ability to learn new programs. Demonstrated history
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. Instruct students to complete new hire packets. Dispatch monthly reminders on timesheet management and approval for monthly payroll deadlines. (5%) Plan and manage special projects based on identified needs