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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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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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Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities. 10+ years of software engineering, analytics development or machine learning engineering experience.
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The University of Massachusetts Medical School Department of Quantitative Health Sciences, Worcester, MA, is recruiting outstanding Research Scientists (postdoc) in natural language processing, machine learning, data mining and applications in the biomedical and health domain (e.g., question answering, information extraction, summarization, machine translation, pharmacovigilance and drug safety research) to join the research group.
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TandemAI is seeking a Senior/Principal Machine Learning Scientist who will help leverage machine learning and artificial intelligence technologies to revolutionize the field of drug discovery.
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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. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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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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Continuously monitor and improve the performance of machine learning models through data analysis and testing. Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness.
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Extensive practical experience with curating datasets, training models, running experiments, analyzing post-deployment data, and developing robust metrics to ensure model reliability. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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What You'll Do: DISC is seeking to fill a 2 year renewable staff scientist position at Data Scientist III level. The Data Scientist III will work independently, but in close consultation and in cooperation with Senior Scientists.
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Create and implement mathematical models and machine learning algorithms for processing big data and extracting valuable insights. Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc.
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The LINC project brings together a multi-disciplinary group of experts from 8 institutions (Brigham and Women’s Hospital, Columbia University, Harvard University, Massachusetts General Hospital, Massachusetts Institute of Technology, University College London, University of Rochester, Weill Cornell Medicine) to develop novel imaging technologies and combine them with machine learning to produce detailed wiring diagrams of the brain.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Experiment with machine learning tools to develop data-driven solutions. We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics.
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machine learning data engineering scientist jobs Company: Red Hat Inc in Boston, MA
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