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Postdoctoral Research Fellowships (OCT Image Processing and Machine Learning) A Postdoctoral research fellowship in optical coherence tomography (OCT) machine learning classification is available in the Tearney Lab (www.
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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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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sage maker, Snowflake Cortex etc. Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sage maker, Snowflake Cortex etc.
$95 an hourExpandUpdated 29 days ago - UpvoteDownvoteShare Job
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit! Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health "barometer" meetings.
$165,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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The NIH NCATS Assay Guidance Manual and HTS success criteria to your cross-disciplinary colleagues from Medicinal Chemistry, Computational Chemistry, AI Research, and Machine Learning Engineering.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
InternExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The successful candidate will be responsible for developing and implementing computational strategies to support cutting-edge research and development in the fields of protein science, antibody discovery, proteomics, systems biology, scientific databases, machine learning, and others.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Principal Scientist, Protein Analytics & Biophysics-Target Binding Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Project Engineer: Machine Learning Scientist The Fraunhofer USA Center for Manufacturing Innovation (CMI) in Boston, MA is part of Fraunhofer USA, a 501 (c) (3) non-profit contract R&D organization.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Master Data Management: Informatica MDM. Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift.
$111 an hourExpandUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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