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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients. The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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Ph. D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math Strong background in Deep Learning and/or Medical Image processing 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred.
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Working with/near/on hand tools, powered hand tools, machine shop tools and rotating equipment. Knowledge, Skills and AbilitiesProficient use of computer software for data logging and word processing.
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Coordinate the tool-making activities in the machine shop and work closely with other engineers and the VP of Engineering to establish priorities for the shop to ensure that the tooling delivered to the line is complete.
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Shovels loose materials such as sand, gravel, metals, plastics, or chemicals into machine hoppers or into vehicles and containers such as wheelbarrows, scrap truck, or barrels. Shovels loose materials such as sand, gravel, metals, plastics, or chemicals into machine hoppers or into vehicles and containers such as wheelbarrows, scrap truck, or barrels.
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Be a big part of a small high-impact team working on the forefront of quantitative trading and machine learning. Be a big part of a small high-impact team working on the forefront of quantitative trading and machine learning.
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This position reports to Head of Biostatistics and Data Management (BDM) within Research and Development (R&D) Department at SPARC. Main responsibilities will include effective leadership, planning and oversight within the Clinical Data Management (CDM) function as well as facilitating collaboration across all R&D functions to ensure rigorous collection and analysis of data.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, pick packer, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, pick packer and maintenance mechanics.
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Here in MDM we work closely with cross-functional stakeholders to have efficient master data for our business. Master Data AnalystPrinceton, NJ, USHybridDo you enjoy working in a team environment as well as data management.
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Understand the impact of key technology trends and workforce changes impacting our clients through engagement with innovative and emergent technologies, including cloud computing, big data and analytics, process automation, artificial intelligence / machine learning, and other digital strategies.
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As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people.
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Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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Perform and record Pre and Post dialysis evaluation, weight, and vital signs with initial identification Responsible for calculating and entry of individual patients' dialysis machine programming for Ultrafiltration (UF) goal; treatment time; and UF modeling as prescribed.
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machine job Title: sr data Company: Verizon in Lawrence, NJ
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