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. The SA-I will be responsible for maintaining and documenting computing and data systems using commercial cloud computing technologies including Docker images and Jupyter hubs and evolving these systems in
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%) – Mentor junior engineers and research assistants; provide guidance on causal inference methods and AI-in-loop experimentation. B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering
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individual who will be responsible for establishing and leading a research program that aims to study the development, organization and function of neural circuits in mouse models of psychiatric disorders
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Computational Systems Biology and Bioinformatics. The research will involve algorithm development and computational analysis of biomolecular information, using both traditional and newly developed methods
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. Responsibilities Responsibilities will include: Apply statistical methods to answer a broad range of addiction and brain development questions, write and lead manuscripts Assist PIs in conducting specific research
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Variable Hours Officer to support research in computational biomedical signal processing with a focus on epilepsy and tumor-associated epilepsy models. The incumbent will assist with the acquisition
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learning. Experience with Bioinformatics is a plus. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C++) is essential. Experience with medical image analysis (e.g
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that align with study aims ? 10% Participate in team meetings and collaborative research discussions ? 5% Perform additional duties as required in support of program objectives ? 5% Minimum Qualifications
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machining methods and safety in the machine shop, as well as operating and maintaining fabrication equipment. Performing and supervising machining operations for undergraduate students and graduate research
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production. Trains lower labor-grade employees using various training methods. Observes safety standards and practices. Performs related duties as required or assigned within job classification. Minimum