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Field
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network
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compiler (e.g. XLA). Neuromorphic computing is considered as very promising for onboard applications due to the low power consumption and high level of performance. Technical competencies Knowledge relevant
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fellow will be responsible for compiling data in excel spreadsheets in running statistical analysis and generation of graphics. This data may be included in publications, presentations or grant
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fellow will be responsible for compiling data in excel spreadsheets in running statistical analysis and generation of graphics. This data may be included in publications, presentations or grant
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fellow will be responsible for compiling data in excel spreadsheets in running statistical analysis and generation of graphics. This data may be included in publications, presentations or grant
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, develops, and conducts research experiments. Evaluates, selects, and applies standard techniques and procedures. Research Data: Collects, compiles, organizes, and analyzes data. Documents, summarizes, and
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firms, policy counterparts and potential donors. Compile, assess and synthesize research into relevant outputs with guidance and oversight of Yale-affiliated research faculty. Provide appropriate inputs
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scenarios; hardware and software in the loop simulation; compiled common components (C++ lib) to accelerate computation; support for automatic differentiation throughout the framework to facilitate optimal
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of regulatory documents, manuscripts, and grants. Compile results and prepare technical reports and documentation of outcomes. Supervise other personnel in the laboratory; participate in training of fellows
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, visit Yale Postdoc Benefits. Application Instructions: Interested candidates should compile a single PDF document that includes: Cover Letter: Describing their research background, key accomplishments