64 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-IBS" positions at Harvard University in United States
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practices, industry standards, codes/jurisdictional authorities, and University guidelines/practices. Must maintain work area, tools and equipment in accordance with University standards/practices. Required
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Eligibility: Applicants must hold an active grant in one of the activity codes listed below, and the research proposed in the supplement must be accomplished within the competitive segment of the active award
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modern spike sorting toolkits, machine learning or statistical modeling of neural data, and reproducible code practices (version control, documentation). · Background in neurodevelopmental
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to, the following: Data Analysis and Programming Develop study questions and analytic approach (including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly
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. Application Requirements Applications must include the following, or they will be considered incomplete: Resume Cover letter including: A link to a piece of code on GitHub that you wrote, ideally something
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research experience in psychology, social/political science, communications, economics, computer science, data science, statistics, or related field Excellent data analysis and coding abilities, including
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inquiry. Application Requirements Applications must include the following, or they will be considered incomplete: Resume Cover letter including: A link to a piece of code on GitHub that you wrote, ideally
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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-coding RNAs in neurophysiology and neurodevelopmental disorders. Basic Qualifications Applicants must have recently obtained a Ph.D. in a relevant field and demonstrated research productivity through peer
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standards of reproducible code are kept. Job-Specific Responsibilities: Lead analytic development across several ongoing clinical research initiatives and enrich research productivity and reliability