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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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Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow, matplotlib, etc.
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Expertise in at least one deep learning library - PyTorch, Tensorflow, JAX, keras required. PhD. or M.S in computational sciences (e.g. computer science, physics, mathematics, computational biology) preferably with applications in biology.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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Expert knowledge of Python programming and machine learning frameworks (Scikit-learn, TensorFlow, Keras, PyTorch, etc.) Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Physics, Statistics, Applied Mathematics, etc.
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Your cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how the protein design platform can be applied in their structure-based design of small molecule therapeutics.
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PhD in network science, physics, big data, behavior modeling, urban science, complex systems, machine learning, visualization, geospatial analysis or related field. By using large datasets of human behavior, tools and ideas from physics, applied mathematics, complex systems or network science, and collaborations with industry, government, and local communities, we seek not only to advance the understanding of the temporal dynamics of social systems to unprecedented levels but also to transform our findings into tools and policies to help achieve resilient and equitable adaptation of our societies.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Participate in Museum-sponsored public outreach programs, representing museum science to potentially very diverse audiences, from school groups to adults, and advocate with the MFA's learning and community engagement staff for programs that incorporate science applied to cultural heritage.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
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GRT consists of five departments, the four disciplinary research departments are: Behavioral & Policy Sciences (BPS), Defense & Political Sciences (DPS), Engineering & Applied Sciences (EAS), and Economics, Sociology & Statistics (ESS), and GRT Operations department (GRTO) which includes research assistants, term, and adjunct staff.
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Requires a Bachelor’s degree from an accredited university or college in Medical Technology or Clinical Laboratory Science which includes successful completion of a supervised course of clinical internship in an approved hospital laboratory, or a Bachelor’s degree in an applied science (Chemistry, Biology, Biochemistry.
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Strong programming skills in Python, and familiarity with AI frameworks like TensorFlow or PyTorch. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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