124 parallel-computing-numerical-methods-"Simons-Foundation" positions at Brandeis University
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design methods. In the area of instructional design projects, the Learning Designer works with the Associate Director to conduct needs assessments, coordinate stakeholder communications and schedules
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tools relevant to information architecture Applied knowledge of IA user research methods, including card sorting and tree testing Preferred: Background in information science or library science Experience
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management tasks. Under the mentorship of a senior researcher, you will utilize a range of neurobiology techniques, including molecular, electrophysiology, and computational methods, while also contributing
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training program that equips professionals with practical methods to analyze, evaluate, and resolve complex challenges in cross-disciplinary STEM environments. Learners will gain mastery of frameworks
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analysis and research data management: 40% Designs and delivers workshops on data collection, wrangling, analysis, visualization, and interpretation methods and related software and programming languages
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microcredential in Applied Problem-Solving Techniques for STEM Teams . In this fully remote, short-term contract, youâ™ll create a dynamic, industry-relevant training program that equips professionals with
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to detail are necessary. Experience in a behavioral science lab environment and knowledge of research methods and statistics are required. The job responsibilities require knowledge of PC and Mac computers
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online course design and development projects, including content development and the course production process; and advises faculty on effective practices and instructional design methods. In the area of
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Brandeis University, Biology Department Program ID: Brandeis-BIOL-BIOTT [#30961] Program Title: Assistant Professor in Biology and Neuroscience Program Program Type: Tenured/Tenure-track faculty
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addition to the Computational Linguistics program. The candidate should have methodological expertise that spans computational methods (e.g. machine learning, natural language processing, sentiment analysis, programming