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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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Serve as a "Co-Teacher" - a critical second adult in the classroom - in six classes per week in TPZ's entrepreneurship and work-based learning programming, supporting the classroom's Lead Educator in creating a safe, supportive, and collaborative learning environment and ensuring that instruction can be differentiated within classrooms, based on student learning styles, interests, and focus of student projects.
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Experience working with digital educational content or designing learning experiences as an instructional designer, a learning experience designer, a creative role in ed tech, in educational publishing, or with experimental pedagogical approaches in the classroom.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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A first-of-its-kind 3.0 Tesla MRI with ultrafast MR imaging informed by deep learning (AI) reconstructions, an additional 3.0 Tesla magnet, and a new 1.5 Tesla MR. The world of healthcare is changing fast and our team is “tip of the spear” when talking about advancements in Diagnostic Modalities, Image-Guided Intervention, AI, Machine Learning, and Health Blockchain Technology.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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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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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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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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Facilities and equipment include: 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.
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Working closely with Associate Professor Jessica Lasky-Su, and Research Operations Manager will be responsible for integrating multi-omic data (genomics, epigenetics, proteomics, transcriptomics, metabolomics, electronic health record data) from both clinical data and research population, using advanced computational methods such as deep learning.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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As an adjunct faculty member, you will play a crucial role in enriching the learning experience of our students and contributing to the overall growth of the Graphic Design program. Collaborating with fellow faculty members to exchange ideas and collectively enhance the learning environment.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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learning job Title: electrical Company: Autodesk in Boston, MA
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