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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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Distinct experience in big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP.This is a hands-on leadership role which involves leading machine learning teams, building best architectural solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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Skills: Windows development for medical products, GUI frameworks, DICOM, PACS, and 2D medical image processing, IPP, ITK, VTK, OpenGL or OpenCV, Windows API, C/C. Knowledge and experience in DICOM, PACS, and 2D medical image processing; experience using toolkits such as IPP, ITK, VTK, OpenGL or OpenCV.
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Ph. D. degree in Computer Science, Machine Learning or a related field. Reinforcement Learning, Computer Vision, or Natural Language Processing experience.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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Ph. D. in Computer Science, Computational Biology, Bioinformatics, or a related field from a top-tier university. Stay abreast of the latest advancements in AI, machine learning, and computational biology, and apply these insights to drive the company’s research agenda.
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Key medicinal chemistry principles to your cross-disciplinary colleagues from Computational Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology. At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning. Experience with natural language processing for legal applications.
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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PhD in Statistics, Mathematics, Computational Biology, Bioinformatics, Computer Science or related field. PhD in Statistics, Mathematics, Computational Biology, Bioinformatics, Computer Science or related field.
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Experience developing/applying computational biology and machine learning tools. As a member of the Advanced Technology Team (ATT), you will be exposed to many different technologies ranging from therapeutics and diagnostics to synthetic biology and materials science to identify ambitious solutions to problems of global importance and turn these solutions into new products.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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machine learning computer science image processing jobs Company: Clearancejobs in Belmont, MA
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