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Job Qualifications Bachelor?s degree required. Completion of a Medical Dosimetry Program (post-BSc degree) required. Master?s degree in Physics, Computing or Math preferred. No experience required
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activities, including budgeting, forecasting, and expenditure monitoring Manage purchasing and allocation of computing equipment Prepare purchase orders and review, reconcile, and approve expense and
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academic and interpersonal activities; Strong computing skills, i.e. working knowledge of Microsoft Office, Google Suite, database / student records, social and mobile applications; Bilingual
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neuroscience, and this hire could contribute to the convergent theme of AI, Data Science and Computing. We particularly emphasize candidates whose research will interact with other hires in the convergent
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Computing and Computational Engineering, Cognitive Neuroimaging Center, or Center for Brain Recovery. The position is part of a University-wide cluster hire in Advancing Brain and Cognitive Health
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. 7+ years of IT-related experience Job Competencies Proven record of successfully maintaining and running a diverse computing system in a mixed academic/administrative setting. Experience with
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recovery and backup solutions. Strong grasp of industry best practices for secure computing and data protection. Strong understanding of PKI/Certificate lifecycle management. Ability to explain complex
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applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large datasets Excellent oral and written
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datasets. Experience running compute-intensive machine learning experiments, including on high-performance or GPU computing clusters. Familiarity with AI tools and workflows (e.g., LLMs, AI-assisted coding
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maintain a security clearance Desired: Exposure to Retrieval-Augmented Generation (RAG), vector databases, embedding pipelines, or LLM-enabled systems. Familiarity with cloud computing environments (e.g