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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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related to your field. Required Qualifications PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or other relevant engineering or science discipline. Expertise
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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. Techniques we use include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs
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PhD applicants will have obtained their doctoral degree from a PhD program with a strong foundation in basic, clinical, behaviorial, or social science with documented research training. • MD/DO trainees
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intelligence with Bowdoin’s liberal arts mission, focusing on its societal, ethical, and humanistic dimensions.The gift will fund new faculty positions across disciplines, support faculty in AI-related teaching
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emotional intelligence, leadership, communication, teamwork, and cross-functional collaboration. Requires a PhD, PharmD, or other relevant doctoral or scientific and/or training (PhD preferred). Some relevant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Intelligence (AI) research focused on cardiology-specific applications. Projects will involve developing, training, and validating AI models using diverse clinical data sources such as ECG waveforms, cardiac