117 parallel-and-distributed-computing-phd-"Multiple" positions at Brandeis University
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Python or other computer language skills Demonstrated ability to analyze and organize data to derive meaningful insights, including the ability to present findings in multiple formats (written reports
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. Qualifications: Education: Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent work experience. Workday Expertise: Minimum of 3-5 years of experience in Information Technology
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programs awarded to faculty in the Division of Science, which includes the Departments of Biology, Biochemistry, Chemistry, Computer Science, Math, Physics, and Psychology; the Programs of Computational
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collaborator, with the ability to work with multiple deadlines. Ability to build strong relationships with admissions staff and constituents across campus. Computer skills - proficiency with Microsoft
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such as R, Python, or STATA. Create and manage data sets from multiple internal and external data sources, pertaining to faculty, students, and staff. Serve as a resource of analytical support to various
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perks. The Research Assistant (RA) will coordinate and work on multiple studies focused on cognition, personality, and health in adult development and aging. Responsibilities will include: Coordinates
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grounded in the philosophy and pedagogical principles of the Kayitz Kef model, the Mentor Trainer provides individualized guidance, training, and professional development for staff across multiple campsites
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across the university, working closely with program representatives to disseminate the most relevant information. This is more than a writing role—it is an opportunity to serve as a strategic partner, a
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, fluorimeters, TIRF microscopes) and training new users, (3) purifying actin from muscle tissue and chemically labeling it for the lab, (4) assisting the PI in supervising PhD students and postdocs, (5
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across the SSSP team and with program participants. The individual will work closely with SSSP leadership and team members to streamline processes, manage resources, and provide logistical support