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M.Sc. in Computer Science, Data Science, or related engineering field with an emphasis in biomechanics (Kinesiology, Physiology, Exercise Science, etc.) Lead assigned data science initiatives for projects combining a large variety of human performance and runner behavior data, including but not limited to kinetics, kinematics, physiology, runner preferences, and runner perception.
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Lynker is seeking an experienced Environmental Data Analyst to support NOAA's Northwest Fisheries science Center with the analysis of stream invertebrate drift and estuarine invertebrate assemblages across the Pacific Northwest.
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The department's research areas include, but are not limited to, electronic, optical and magnetic materials, polymers, ceramics, composite materials, nanomaterials, energy materials, quantum materials and devices, biomaterials and medical devices, additive manufacturing, data science of materials, theoretical and computational materials.
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Master's or foreign equivalent degree in Computer Science, Machine Learning, Data Science, Math, Statistics, Physics, Bioinformatics, Software Engineering, Engineering, or equivalent technical field.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Data analysis, authoring technical reports, and presentation of results. Excellent documentation and data management skills. Either Upstream bioprocessing experience including aseptic technique, bioreactor operation and primary recovery OR Downstream bioprocessing experience using chromatography and tangential flow filtration.
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems. Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.
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Experience with both Upstream bioprocessing experience including aseptic technique, bioreactor operation and primary recovery AND Downstream bioprocessing experience using chromatography and tangential flow filtration.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Bachelor's Degree in Human factors (e.g. human-computer interaction, human-centered design, human-centered design and engineering), Information systems (e.g. information architecture, information design, knowledge management, information science, information management, information experience design, informatics, information systems), social science (e.g. psychology, cognitive science, anthropology), computer science and/or user experience research.
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Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
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Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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data science jobs Company: Fred Hutchinson Cancer Research Center in Seattle, WA
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