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Experience in Information Management, Business Management, Economics, Econometrics, Data Science, Computer Science & Engineering, Mathematics & Computer Science but also Robotics & Applied Mathematics or equivalent.
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The ideal candidate will have significant experience using advanced geospatial data science for qualitative and quantitative analysis to identify issues, define the mechanics of a problem, and recommend solutions based upon data driven analysis.
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Actively partner with the Associate Vice Presidents, Philanthropy and Operations to identify new principal gift prospects through prospect research, data mining, giving trends, and other analytical tactics.
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As a key member of the material science group within Dexcom's research and development organization, the Staff membrane and formulation scientist is responsible for developing and validating novel membrane designs and formulations to support next generation biosensor products.
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The intern will therefore have a focus on the life science industry and will have the overall responsibility for this event, which includes event-planning, finding sponsors and speakers and to promote the event.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Work with Medical Monitor, Data Manager, Safety Manager, Clinical Operations Program Lead, Clinical Trial Manager, Clinical Trial Associate, Principal CRA, and CRO staff to review site specific data listings for accuracy, data discrepancy resolution, and data trends; provide training/retraining to site staff as needed.
$138,500 - $153,100 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Or software programmingSpring boot, Microservices, Docker, Jenkins and REST API's experienceExcellent written and verbal communication skillsFor data Science/Machine learning PositionsREQUIRED SKILLS.
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Job RequirementsDegree in Mechanical Engineering or Material Science (MS/PhD preferred)Strong background in Heat Transfer, Material Science (especially metallurgy), Solid Mechanics and Fluid Dynamics; experience in brazing/metal-bonding techniques is a big plusExperience running simulations (heat transfer, CFD, FEA.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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Skills SummaryBuilding Management System (BMS), Centrifugal Compressor, Centrifugal Pumps, Chilled Water Systems, Cooling Towers, Data Center Services, Electrical Distribution Systems, Emergency Diesel Generators, Fuel Systems, Heat Exchangers, Humidification Systems, HVAC Equipment, Industrial Water Treatment, Systems Troubleshooting, Uninterruptible Power Supply, Variable Frequency Drives (VFD), Water Filters, Water HeatersWhat will make you a good fit for the role.
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Expert knowledge of HPC / data science / CI. Expert knowledge in computational and data science architectures, HTC/HPC architectures, and data science modeling and ontologies.
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The projects will use in situ ecological data to conduct quantitative analyses such as occupancy modeling, spatial analyses, population estimation, fire and drought data integration for decision support, and analysis of the impacts of climatic conditions on success of management, ecological restoration and conservation planning.
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PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience. Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience.
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data science jobs Title: program manager in San Diego, CA
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