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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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of facilitating the early detection of potential increases in the circulation of certain viruses. Furthermore, work will be undertaken to improve and harmonise the different bioinformatic analysis methods
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, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices. Excellent communication, stakeholder engagement and collaboration
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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses
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and spatial modelling to assess willow expansion in different parts of Norway from recent decades to the present. The project will subsequently investigate the environmental and land-use factors
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for different DUML students (Master Student projects, Undergraduate research projects, and DukeEngage projects). • DUML CSI’s outreach and volunteer programs: The CEF helps create opportunities for DUML students
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System Model, vesion 3 (NorESM3), and a central satellite dataset for EEI is from the Clouds and the Earth’s Radiant Energy System (CERES). The specific tasks intended for the PhD fellow are to (i) Analyze
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refereed journals* Experience with computational protein design (desirable) Experience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines (desirable) Minimum
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hydrophone arrays and Distributed Acoustic Sensing (DAS) technology.; The objective is to develop methods for acoustic event detection, segmentation and selection of intervals of interest, Time Difference
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problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference. Job Description Job Summary: The Belfer Center for Science and International Affairs is the hub