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State-of-the-art Phillips 7700 3.0 Tesla MRI with ultrafast MR imaging supported by deep learning (AI) reconstructions, an additional 3.0 Tesla magnet and a new 1.5 Tesla MR (all Phillips). Two dual-source, dual-energy Siemens Force CT scanners.
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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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We welcome outstanding applicants with research interests in any area of machine learning, statistics, or applied mathematics that could drive the frontier of biomedical research. While experience in machine learning or related fields is critical for the role, prior exposure to biology or medicine is advantageous but not required.
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Join Takeda as a Director, AI Strategy where you will lead the strategic application, integration and development of machine learning and AI technologies in the discovery and development of biologics ensuring alignment with Global Biologics and Takeda Research goals to deliver innovative, highly differentiated therapeutic opportunities for patients.
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Regularly provides advice and expertise to general education teachers and the school community to support the creation of appropriate and effective academic, behavioral, and social/emotional learning experiences for students.
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Design, implement, train and maintain machine learning algorithms and ML system pipelines. Minimum 4 years of experience building, training and deploying machine learning models.
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The Junior Instructional Designer works within the functionality of our Canvas Learning Management System (LMS) as an administrator, working with faculty on problems related to online course publishing, tier-one Canvas support, and basic data reporting.
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Field of Study/Additional Specialized Training: Preferably in medical physics, computer science, bioengineering, mathematics, statistics, neuroimaging, or related field; Hands-on experience designing, developing, implementing, and validating software solutions, with a focus on neuroimaging, neuroinformatics and machine learning applications.
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At Source Bio, we are working on novel AAV gene therapy technologies – making AAV gene therapy safer, cheaper, and better for everyone. Working hand-in-hand with the CSO and head of Vectorology, this Scientist will be a critical member of the founding team here at Source Bio.
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Work in partnership with the Conservation Learning, Community Engagement, and other colleagues to identify and execute grassroots advocacy opportunities for physical and digital visitors, supporters, community partners, and staff to advance conservation priorities.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. At Jerry, the pace of learning is rapid, and the growth trajectory is substantial for those who take ownership of their work.
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Help design algorithms and systems, leveraging machine learning and quantitative techniques to produce products that effectively identify and mitigate risk within Fraud, Anti Money Laundering, and Responsible Gaming domains.
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Lead Machine Learning Engineer – Semiconductor. Machine Learning | Semiconductor Manufacturing | AI | Electrical Engineering | Automation | MLOps | Java | C. Lead the development and deployment of machine learning algorithms for semiconductor manufacturing challenges.
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Serving the vibrant tech hub of Boston and beyond, our specialization lies in placing top talent in permanent positions within cutting-edge fields such as AI, machine learning, hardware acceleration, quantum computing, silicon photonics, and other emerging technologies.
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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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machine learning source jobs Title: manager in Quincy, MA
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