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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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A team of experts in social-emotional learning, physical activity, education landscape, and ed-tech platforms guides us. We collaborate closely with schools to provide comprehensive programs infused with social-emotional learning (SEL.
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Develop multimodal data fusion strategies; building, deploying and maintaining state-of-the-art deep learning models to enable translation across multimodal cellular readouts. Track record of publications in the field of machine learning applied to biological (omic and/or imaging) data.
$150,000 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Learning and Development resources. 5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality support experiences.
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Promote organization-wide understanding of MEDA’s planning matrix, including development and presentation of learning materials, to invite deeper engagement and orient new staff members. Support ongoing development and maintenance of MEDA’s data-driven planning infrastructure.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Experience as a solutions engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company.
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7 to 10 years of relevant nonprofit development management experience with a demonstrated track record of successfully meeting fundraising goals through diverse funding streams for organizations with $2M-$6M operating budgets.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Knowledge of cross-platform development frameworks, such as Flutter/Dart.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
$350,000 - $450,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The manger supports Bank responses to audit, model risk management and regulatory examinations and for all Credit Risk Stress Testing Activities and coordinates these activities with the Senior Director - Risk Analytics, the as well as the heads of Model Development, Model Implementation, and Capital Planning.
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Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. Learning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional development.
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Disney Entertainment and ESPN Technology (DE&E Technology) provides the technological backbone and product development for Disney's two media business units, while helping to keep the company at the vanguard of innovation - enabling the Company to continuously leverage technology to enhance storytelling and creativity, while delivering scalability, flexibility, and efficiency for its businesses.
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UCSF offers competitive salaries, research set-up funds, and recruitment allowances, and has numerous opportunities for faculty development and further training in mentorship. There is an opening for a physician scientist or researcher at each site.
$127,000 - $333,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. You strive for continuous improvement of data architecture and development process.
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learning development jobs Title: data scientist Company: Remoteworker Us in San Francisco, Columbia, Missouri
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