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Focus areas of the SDBC and the Cancer Biostatistics Resource include the design and analysis of clinical trials and observational studies, cancer research, analysis of longitudinal and survival data, epidemiologic modeling, Bayesian analysis, modern causal inference, statistical genetics and genomics, machine learning methods, and behavioral statistics and psychometrics.
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If you’ve got a flair for data, machine learning and have knowledge in Elixir as well as a strong desire to contribute to a more eco-conscious world, then the role of Senior Data Engineer (Machine Learning, Elixir) is calling out for you.
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The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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You will join a team of machine learning engineers, scientists, and data scientists working on prototyping and derisking capabilities that will power a range of use cases at Recursion.
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The Data Scientist should have a strong background in statistical analysis, machine learning, and programming, along with excellent problem-solving skills and the ability to communicate complex findings to both technical and non-technical stakeholders.
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Algorithm Development: Design and implement geospatial machine learning algorithms tailored for geospatial data analysis and forecasting. - Proven experience in developing and deploying machine learning models, preferably with a focus on geospatial applications (i.e. satellite data analysis) or computer vision.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Experience with disruptive technologies such as Snowflake, Databricks, GCP, Teradata, Tableau, Power BI, Data Science and Big Data. Proficiency in the Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) with a data and analytics lens.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Big-D Construction. Big-D Construction, a National General Contractor of award-winning projects built by exceptional people, has a Preconstruction Manager on our Mission Critical team located in Salt Lake City, UT.
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We need a scientist with double expertise in both flow simulation (reservoir engineering) and optimization or machine learning. To achieve this capability, we rely on both physical and machine learning modeling.
$90,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Keyword(s): Artificial Intelligence and Machine Learning, Deep Learning, Computer Vision, Natural Language Processing. Expertise in Azure cloud services, including Azure Machine Learning, Azure Functions, and Azure DevOps for CI/CD pipelines.
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Design and perform computational analyses to answer biological questions, such as batch normalization, clustering algorithms, and machine learning modeling to automate gating. For example high-parameter genomics, mass cytometry, weather data, social media, microscopic imaging, etc.
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Object oriented Python programming and solid experience with machine learning libraries - Pandas, NumPy, Scikit-learn, TensorFlow, etc. Fidelity’s Financial Intelligence Unit is looking for a data technologist to join our Cyber Fraud Investigations team.
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