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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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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, and human data collection in laboratory and field environments.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Earned PhD in computational biology/medicinal chemistry or related field with expertise in machine learning, biochemistry, and molecular modeling. High proficiency in molecular modeling (chemoinformatics, molecular dynamics and CADD softwares) and machine learning (Deep Learning, Graph Embeddings, Reinforcement and Transfer Learning) and algorithmic analysis of data.
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Support the introduction and optimization of Gen AI usage in Talent Acquisition with a deep understanding of large language models, machine learning, data optimization, and statistics. Familiarity with technology infrastructure and technology stacks (Optional additional detail) Experience with data-centric programming languages (e.g. R, Python), data visualization tools (e.g. ggplot, Tableau, R Shiny), database and data manipulation tools and infrastructures (e.g. SQL, Snowflake, Databricks, DBT), and software engineering tools (e.g. git / version control.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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The Role:The Cambridge Rindge and Latin School, in partnership with the Health and Physical Education department, seeks a Health Education Teacher for the 24-25 School Year. The teacher will report directly to the Coordinator of Health, Physical Education and Wellness and to the principal of the school or small learning community administrator to which she is assigned, as well as to the CRLS PE/Health Lead Teacher.
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Coordinate key research and development teams within BCS to ensure steady process of transfer of advanced technology research (artificial intelligence, machine learning, and other) into core product development roadmaps to support transformation to higher value “decision support” solutions.
$262,150 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Some of our programs are wholly owned, and some are advancing with partners including Alexion, AstraZeneca Rare Disease; Novartis Pharma AG; Neurocrine Biosciences, Inc.; and Sangamo Therapeutics, Inc. For more information, visit www.
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The job: Provide customers with maintenance, repair, and installation assistance for CNC machine tools on-site or by telephone. They hope to find experience in electrical and mechanical troubleshooting and maintenance of CNC machine tools.
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Competitive benefits and premium compensation As a Lead Teacher, you will: Create a welcoming, engaging classroom space for young children to learn, play and grow Use a growth mindset to develop young minds and inspire a love of learning Implement our proprietary L.E.A.P. Curriculum®, working with Infants, Toddlers, or Preschool children in a way that is consistent with the unique needs of each child.
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Our research interests include radio frequency (RF), machine learning (ML), cognitive electronic warfare (EW), cognitive radio, cognitive signals intelligence (SIGINT), trustworthy AI, novel learning methodologies, and adaptive decision making and control across distributed systems, among others.
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Hands-on experience with machine learning (including deep learning), and one or more of the following technical areas: computer vision and image processing, multi-modal large language models, speaker identification/verification technologies.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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machine learning jobs Company: Dice in Burlington, MA
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