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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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Innovation will also be a key area of growth for the Senior Aquatics Director through the learning and implementation of Design Thinking. Shares information and learning with Senior Executive Directors.
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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. The Machine Learning Motion Planning team specializes in the fusion of Machine Learning and Classical Methods, researches and develops new heuristic and deep learning approaches, and builds deep neural networks, algorithms, and software to make an impact across navigation, behavior, route planning, as well as trajectory optimization, numerical optimization, and model predictive control.
$168,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. In addition, this individual will interact cross-functionally with discovery, biology, toxicology, translational and data science groups to provide medical insights and promote integration of precision medicine strategies in Neumora’s development programs.
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Knowledge of machine learning frameworks (TensorFlow, PyTorch) and libraries. Continuous learning and professional development opportunities. We seek a highly skilled Full-Stack LLM Prototype Engineer to join our dynamic team.
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Data Science, Analytics, Big Data, Marketplace, IoT, Training, EdTech, Artificial Intelligenc, Machine Learning, Deep Learning, AI, Talent Cloud, Talent on-Demand, Skills Taxonomy , Upskilling, HR Tech, and Recruiting.
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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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Ensure that respect for diversity, equity, and inclusion, social-emotional learning, and academic excellence are emphasized as core values of the School. We welcome candidates who will add to the diversity of our community and who have demonstrated a commitment to diversity, equity, and inclusion in their teaching and learning.
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Description: The Handel and Haydn Society Associate Conductor of the Youth Choruses supports the learning of students in two ensembles: Youth Chorale and Concert Choir. Support quality instruction in vocal pedagogy, musicianship, and choral singing through leadership of the weekly rehearsals for Youth Chorale and Concert Choir on Saturdays, September - May and for other rehearsals related to special projects.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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We do not accept resumes from other company/ third-party recruiters Job Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Research Engineer, Machine Learning Location: Duration: 11 Months Domain Exposure: Work Authorization: Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll.
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Have familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more! Prepare a beautiful, orderly environment that fosters concentration, independence, and deep learning.
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Utilize knowledge in the principles and practices of planning, design and construction to develop planning solutions for University facilities; particularly research laboratories (wet, computational, vivarium), clinical facilities, and health sciences learning environments.
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6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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learning job Title: registered nurse Company: Compunnel in Boston, MA
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