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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Employ advanced AI and machine learning models, including deep learning and predictive analytics, to identify novel materials and predict their performance within battery systems.
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The Specialized Products & Advanced Research Capabilities (SPARC) Group is seeking a Principal Machine Learning Researcher to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security.
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Roles and Responsibilities: Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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If you have a solid foundation in machine learning and a keen interest in peptide/protein engineering and design, you could be pivotal in our journey. Your foundation in machine learning, combined with an interest in peptide/protein design, is what we value.
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Advanced degree (PhD preferred) in computational biology, machine learning, genomics or a related field. This position requires excellent and demonstrated scientific writing and a deep understanding of computational biology, machine learning, genomics, or a related field.
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Radar and RF signal processing, optimization, electronic warfare, machine learning, adaptive signal processing, algorithm development for RF sensors, test & evaluation, modeling & simulation, or systems engineering.
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The ideal candidate has a machine learning background with biotech industry experience building generative ML models, pre-processing pipelines, and comprehensive benchmarks to support biological sequence design.
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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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The Lead Data Science and Machine Learning (ML) directs and executes Ontada's technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration with Ontada commercial, chart abstraction and engineering teams.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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5+ years in classical computer vision techniques, machine learning methods and tools including deep learning, associated frameworks (e.g., PyTorch, TensorFlow, Keras), signal processing modalities (e.g., EO/IR, sonar, radar, lidar, acoustic, LDV), or related.
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machine learning jobs Title: expert in Lexington, MA
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