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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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Certification in GCP (e.g., Professional Cloud Architect, Professional Machine Learning Engineer). Design and Implementation: Architect and deploy scalable, high-performance ML and AI solutions on GCP, leveraging services like GCP Vertex AI, TensorFlow, and BigQuery.
$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. Develop AI and Client pipelines in Databricks and different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda.
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Strong computer vision and machine learning background and fluency in standard domain libraries (numpy, opencv, pytorch) Develop and evaluate machine learning and computer vision techniques for object detection and tracking.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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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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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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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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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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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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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
$276,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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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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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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machine learning spark jobs Title: solutions architect Company: Databricks in Boston, MA
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