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that cause diarrhea and pneumonia, intracellular signaling, pathogen adhesion, genetic determinants involved in susceptibility to infection, vaccine development, and identification of novel antimicrobial
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STUDENT INSTRUCTOR POSITION(S) AVAILABLE AVAILABLE JOB POSTING: FOR MASTER?S STUDENT COURSE: SIADS 644 - Reinforcement Learning Algorithms COURSE SCHEDULE: April 1, 2026 - April 28, 2026 Number of available
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. Skills: Analytical Thinking, Artificial Intelligence Algorithms, C++ Programming Language, Communication, Data Analysis, Feature Engineering, Git, Independent Problem Solving, JavaScript, Linux
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Department Harris School Bike Shop About the Department The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms—particularly AI—that enhance
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: The Research Scholar will support research on a smart toilet system for automated urine output monitoring through clinical study management, quantitative analysis of clinical and sensor-derived data, algorithm
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
: 88307BR The Cardiovascular Genetics Center at University of California, San Francisco is seeking an experienced bioinfomatician to faciliate several lines of research that relate broadly to inherited forms
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datasets, algorithms, and tools for specific AI applications Integrate AI capabilities into existing software systems and applications Collaboration and Documentation (20%) Collaborate with cross-functional
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. The Senior Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Senior Bioinformatics
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Primary Work Address: Dept. of Genetics, Boston, MA, 02115 Current HHMI Employees, click here to apply via your Workday account. We are currently seeking a dynamic, interested, and curious Research
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and