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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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–software co-design for privacy and integrity. ● Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide apprenticeship
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
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that informs the design and evaluation of culturally responsive communication interventions to advance the health and well-being of health disparity populations. The position is for 2 years. Key Responsibilities
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therapeutic targets, and support highly translational research initiatives. Key Responsibilities Experimental Design & Execution: Develop and execute in vivo studies using murine models to investigate
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Learning Through Research (CATLR), and the Office of Faculty Development (ADVANCE). We welcome applicants with recently-awarded PhD, EdD, or related doctoral degrees (2023 or later) from the humanities and
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management ● Supervising and coordinating undergraduate research assistants ● Helping to mentor masters and doctoral students ● Designing experiments, collecting data, analyzing and writing papers