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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts. Our Molecular Structure and Design team embraces novel approaches to computer-aided drug design, machine learning, and structural biology.
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Our faculty are leading research efforts in artificial intelligence, machine learning, natural language processing, and computer vision. The Grants Manager in the Department of Computer Science assists faculty in identifying and applying for grants.
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We help clients, including global companies, electric and natural gas utilities, and financial institutions, develop and implement climate change programs across a broad range of industry sectors and contribute to climate, clean energy, and clean transportation policy development.
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The team's work is essential in supporting feature developments that use artificial intelligence and machine learning including Bloomberg Law's Docket Key, Points of Law, Brief Analyzer and Draft Analyzer, Bloomberg Tax's search capabilities and Bloomberg Government's State Bill Comparison.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Ideally the individual will also have interest in developing and deploying apps and tools for colleagues of various backgrounds as well as adapting approaches from machine learning.
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Knowledge of computer arithmetic, digital signal processing and related VLSI architectures. Design high-speed data paths to implement arithmetic functions and signal processing algorithms as needed, as well as complex control state machines.
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Bachelor or Masters of Science or Engineering in Environmental Science, Geology, Civil, Environmental, or Chemical Engineering, or other engineering or related earth science discipline.
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Oversee a coherent and cogent agenda for the development and execution of interdisciplinary research programs described above which are conducted by ETS scientists who work — often in collaboration with researchers at universities and institutions from around the world — in disciplines that include statistics, psychometrics, educational research, cognitive science, psycholinguistics, AI, computer science, and public policy.
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Stay up to date with latest advancements in machine learning research and implement relevant technologies to deliver state of the art data science solutions. Design, develop and optimize predictive models using machine learning to solve complex (clustering, classification, regression, simulation, and optimization) problems on large-scale data sets, which ultimately optimizes and increases clinical outcomes.
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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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Work will take place onsite at the NSTX-U fusion researcher facility located at Princeton Plasma Physics Laboratory, Princeton NJ. Qualified candidates will have a Ph. D. in Physics or a related field and a demonstrated background in plasma physics, microwave based diagnostics, and advanced data analysis/signal processing techniques.
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machine learning natural language processing computer science jobs Title: data scientist Company: Gartner in Princeton, NJ
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