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Required: Master of Science (with 5 years of experience) or entry-level Doctorate in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics.
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The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, statistics, and more.
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Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models.
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Experience with research or publications in machine learning or artificial intelligence is a plus. PhD/MS degree in Computer Science, Statistics, Applied Mathematics, or related fields.
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Expert knowledge in one or more of the following statistical-methodological topics: Adaptive and Enrichment Designs, Multiplicity and Multiple Testing, Probability of Success / Assurance, GoNoGo frameworks and decision making, statistical techniques for portfolio management, Bayesian statistics, causal inference, mediation analysis and joint modeling, artificial intelligence, machine learning.
$135,000 - $232,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Department hosts the Algebra and Cryptology Center (ACC), participates in the Stevens Institute for Artificial Intelligence (SIAI), and Center for Research toward Advancing Financial Technologies (CRAFT), and has several outreach activities and interests in innovative educational technologies.
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world.
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We prioritize analytical thinking, creativity and computer science skills over ad tech industry experience. Epsilon is a global advertising and marketing technology company positioned at the center of Publicis Groupe.
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In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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The AI Labs was formed to act as a central hub with a firm-wide remit to seek strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization.
$157,500 - $214,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Research topics may include, but are not limited to the following:Geophysical signal processing, including detection, characterization, and associationMachine learning/artificial intelligence applications to geophysical problemsNumerical modeling from source to sensorData collection and response modeling for sensor improvementGeneral data analyticsSome positions may involve collecting data in a laboratory and/or fieldwork setting.
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Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies, while also ensuring quality. Masters degree in Statistics, Computer Science, Data Science, or Business Administration with equivalent experience.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Currently has or is in the process of pursuing a PhD in machine learning, computer vision, applied statistics, computational neuroscience, or a related field.
$7,313 - $11,333 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Description The Department of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin, invites applicants for a full-time faculty position at the rank of tenure-track Assistant Professor or tenured Associate Professor (depending on the qualifications of the successful candidate) that is broadly focused on artificial intelligence in aerospace engineering.
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They will lead a team of data scientists to develop cutting edge artificial intelligence (AI) and image processing methods for digital pathology, and to conduct clinical evaluation studies for implementation of these AI tools in the pathology clinical work flow.
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