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The Advanced Architectures and Algorithms (AAA) Group within the Sensors Division develops advanced signal processing and waveforms, machine learning, tracking/fusion algorithms, and resource management algorithms for next-generation ground-based, airborne, and space-based radar systems and EO/IR systems.
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Who You Are: You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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Regularly provides advice and expertise to general education teachers and the school community to support the creation of appropriate and effective academic, behavioral, and social/emotional learning experiences for students.
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Proven understanding and professional experience applying machine learning/deep learning concepts and techniques such as random forest, support vector machines, RNNs, CNNs, LSTM, etc.
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We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.
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Architect and implement scalable and efficient machine learning systems. Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
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Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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The courses, learning activities, and resources provided to you in our pharmacy technician training program are designed to give you foundational and advanced knowledge, skills, and on-the-job experiences you need to prepare to become a certified pharmacy technician.
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Create and implement mathematical models and machine learning algorithms for processing big data and extracting valuable insights. Utilize expertise in signal processing and time-series analysis to analyze biosensor systems and optimize their performance.
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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Lead experiments and drive maturity in applying emerging technology disciplines including robotic process automation, machine learning, GenAI, self-serve analytics to the Enterprise Risk portfolio.
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AI & Computational Sciences, Novartis Biomedical Research Leadership Role in Chemistry-based AI/Machine Learning. AICS is seeking a highly motivated and experienced leader in the field of Chemistry-based AI/Machine Learning to drive the frontier of drug discovery.
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9+ years of relevant thought leadership/publication track record in machine learning applications and AI/ML methods. Demonstrating a deep and broad understanding of generative, discriminative, contrastive machine learning (ML), and other cutting-edge methods.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence.
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Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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machine learning jobs Title: scientist Company: Verizon in Boston, MA
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