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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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with the goal of better understanding how places impact people. We develop machine-learning algorithms and non-linear measure of brain dynamics to quantify more vs. less effortful brain states. This is
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algorithmic transparency and accountability. AI as a tool for libraries: Assess AI tools that could benefit the Library’s own operation and services and undertake research into use of AI for library and
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other cloud computing platforms, systems and applications to support translational data science; and/or c) the development of machine learning, statistical, bioinformatics and AI algorithms to support
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algorithms for clinical processes in the transplant program and more broadly in the Section of Pediatric Hematology/Oncology & Stem Cell Transplantation. Coordinates transplant research protocol development
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knowledge of data algorithms and use specialized computer software to identify and classify components of scientific biological systems and develop methods and software tools to analyze and interpret
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. Assist in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e., DNA and protein sequences). Support the development of data models
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creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences). Applies basic application of computational tools and
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interpersonal, verbal, written, and presentation skills. A broad knowledge of algorithms, programming languages, and libraries. Ability to understand and translate researchers’ scientific goals into computational
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algorithms, programming languages, and libraries. Ability to understand and translate researchers’ scientific goals into computational requirements. Ability to identify and gain expertise in appropriate new