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A proven leader with a Ph. D. in machine learning, statistics, computer science, mathematical modeling, operations research, or related field computational chemistry, or other highly-technical fields from a recognized higher-education establishment.
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The Teaching and Learning Archivist will collaborate with colleagues in the Teaching and Learning unit and the Harvard University Archives to prepare and lead instruction sessions using archival material across all disciplines, teach co-curricular workshops, and develop physical and digital learning objects for primary source learning and archival literacy.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Experience with: multivariate statistics, (e.g., machine learning, multiple regression, structural equation modeling, trend analyses) program evaluation, survey research, data acquisition and organization for the purposes of building statistical models.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. You will also directly impact our key success metrics via building machine learning solutions and risk detection rule development and deployment.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Proficiency in software development (SAS, R, Python, Matlab) and developing machine learning and predictive models. Other duties as requested by Biostatistics Director. Proficiency in software development (SAS, R, Python, Matlab) and developing machine learning and predictive models.
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In this context, the RDS team integrates complex and disparate data sources spanning preclinical to translational research, uncovers patterns in the data and develops machine learning models to predict mRNA vaccine performance and further our understanding of the mechanism of action.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Serving the vibrant tech hub of Boston and beyond, our specialization lies in placing top talent in permanent positions within cutting-edge fields such as AI, machine learning, hardware acceleration, quantum computing, silicon photonics, and other emerging technologies.
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Who we are looking forThis is a very exciting opportunity for talented engineers seeking to be part of highly visible and advance compliance technology group working in cloud environment with databricks, Machine learning and niche vendor products.
$75,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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machine learning open source jobs Title: technical manager in Cambridge, MA
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