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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
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Proficiency with image processing, machine learning, and deep learning techniques. Create machine learning-based pipelines to identify changes in spatial omics patterns of gene and protein expression in tumor tissues.
$80,196 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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In this job, you’ll be leading and developing high impact sourcing strategies for the energy infrastructure of tomorrow in areas ranging from technology related areas, including IT procurement (hardware, software and telecom.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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These include: UAS Command and Control Systems, Airframes/Structures/Thermodynamics, Electronics, Communications, and Power, Autonomous Systems and Algorithms, Flight Management Systems, Surveillance sensors and algorithms, Human / machine interface, Information Assurance and Cyber Threat Considerations.
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We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.
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A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us. Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM.
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Extensive practical experience and proficiency in Open-Source Intelligence (OSINT)Excellent critical thinking and analytical skills to assess the quality and relevance of online information.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java Full Stack developers, Python/Java developers, Data Analysts/Data Scientists, Machine Learning engineers for full-time positions with clients.
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In-depth knowledge of CNC machine operation, setup, and programming. Machine Setup & Maintenance: Supervise setup, calibration, and troubleshooting of CNC machines. Collaborate with maintenance teams to ensure optimal machine performance and uptime.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Provide hands-on support in Relativity and other litigation technology toolsets for a variety of requests, including: advanced search design, implementation and validation; creation and support of document review batching and production workflows; privilege log design and management.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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