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Experience with any of the following Frameworks Spring, Django, R Shiny, Tensorflow, MXNetUnderstanding or Application of Machine Learning and / or Deep LearningExperience in a scientific environment.
$96,600 - $151,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
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Certification in GCP (e.g., Professional Cloud Architect, Professional Machine Learning Engineer). Professional Growth: Opportunities for continuous learning and career advancement.
$80 - $90 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience in different domains, like database architecture, artificial intelligence, machine learning, advanced analytics, big data, etc. Knowledge on Apache Airflow. Develop AI and Client pipelines in Databricks and different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda.
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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Ph. D. degree in Computer Science, Machine Learning or a related field.
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From an Advertising perspective, Identity graph will be used to identify (and map all the identities) and activate marketing activities on different platforms (display, social, email, platforms, etc), reporting and take attribution across website engagement (Websights) activities, to CRM conversion(closed /won deals) What you'll do : Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration.
$180,000 - $247,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Proactively problem solve, formulate problem statements and sets, derive them to manageable data collections and apply critical thinking to develop solutions.
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The candidate will perform research and development of advanced analytics solutions in healthcare, and have the opportunity to lead machine learning based analyses for projects related to heart disease, and to leverage conventional and advanced approaches to analyze large unique high-dimensional complex databases of human data.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Experience in supporting working capital management initiatives for large, global companies (e.g., decreasing DSO, optimizing DPO, optimizing inventory) and related financial solutions, e.g., supply chain finance & dynamic discounting.
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DE performing full stack development in an Information Technology (IT) product development organization, and Amazon Web Services (AWS) environment, using TypeScript, Node.js, Java, API development, Spring Boot, Apache Tomcat, and RDBMS; and analyzing, designing, developing, and testing scalable Cloud based software applications.
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We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP® and elective courses.
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Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.
$200,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We believe we are at the cusp of a nucleic acid medicine revolution powered by programmable medicines and machine learning. We are leveraging machine learning and fast iterative cycles with a world-class wet lab team to guide and improve the design of the next generation of delivery vehicles for nucleic acid therapeutics.
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Demonstrated expertise in biological data analysis; experience with single-cell sequencing, proteomics, machine learning, and/or multimodal data integration is a plus. The Lage Lab at the Stanley Center for Psychiatric Research and Novo Nordisk Foundation Center for Genomic Mechanisms of Disease is seeking a Computational Postdoctoral Associate to join our team.
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Serna Bio is a preclinical drug discovery company developing small molecules that can modulate translation and splicing, by targeting RNA. Founded in 2021, Serna Bio leverages the convergence of synthetic biology, machine learning (ML), and massively multiplex screening to tackle the historical challenges of drugging the RNA universe.
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machine learning apache spark jobs Title: solutions Company: Databricks in Boston, MA
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