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The ideal candidate will bring experience in molecular modeling of proteins and protein complexes, structure-based design tools, and state-of-the-art deep learning approaches, helping us unlock the potential of molecular mimicry for therapeutics development.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer.
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Master's Degree in Engineering, Mathematics, or Computer Science- with a focus in Process Mining, Machine Learning, Data Science, and Artificial Intelligence. Build business insights using data visualization & machine learning in applications that are used by Fortune 500 companies.
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The Associate Director will report to the Director of the Bentley Service-Learning and Civic Center (BSLCE) and will be responsible for overseeing faculty-led workshops, developing relationships with the Greater Waltham corporate community, liaising with leaders of the broader national/international social entrepreneurship movement, and working with local experts in the incubation arc of each social enterprise.
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Personal and professional growth opportunities (LinkedIn Learning, formal leadership development program, and upward mobility). TUV SUD, a leading provider of TIC (Testing, Inspection and Certification) services is seeking a Tax Accountant Assistant to join our Accounting/Financeteamin Wakefield, MA (hybrid onsite/home office.
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Embracing diverse perspectives to foster innovation, learning from both successes and failures. Actively participate in Marketing and Marketing Research programs, including focus groups and other consumer research formats to inform Packaging design and structures.
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Additionally, part of the system includes an iPad application for neurological disease diagnostics using augmented reality and machine learning. About the projectWe are looking for a highly skilled Senior UI/UX Designer to join us.
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Deep Learning Research: Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more.
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This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges such as signal detection, classification, autonomous sensor decision-making, radar, electronic warfare, waveform design, electronics support measures, and more.
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Acts as a liaison between the Music Library and colleagues across the Harvard Library working in learning and engagement, including others in Arts, Archives, and Special Collections, and those in Services for Academic Programs.
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Develop and refine AI models for demand forecasting using a mix of statistical, machine learning, and deep learning methods. As a Data Scientist at Global Partners, you will play a crucial role in owning development of Data Science and Machine Learning models from our vast data sources and contributing to data-driven decision-making.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 3 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry Required Skills •Engineering skills to be able to optimize data analysis workflows for speed and usability •Proficiency in programming languages such as Python and R, with experience in data analysis and machine learning libraries.
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Experience with the following areas is a plus: Containerization (Docker, Kubernetes); Front end framework development experience (React, Angular, Vue); Robotics, ROS Spatial systems; Machine learning; Automated deployment (CI/CD, Terraform.
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Have one-or-more of the following hands-on experiences: Lab research, member of a project team, prior internship or previous work experienceHave an up to date resume and portfolio of your previous experience to highlight what you have learned and how you have applied that learning.
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learning job Company: Apple Inc in Burlington, MA
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