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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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Develop and deliver equity-centered learning and professional development to students, faculty and staff focused on concepts of racial equity, systemic racism, social and economic justice, power and privilege, historical underpinnings of systemic oppression, White Supremacy Culture, belonginess, inclusion, identity development, and cultural humility.
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This role will be responsible for the strategic development of our data platform within Snowflake, the transition of BI tools from DOMO to Power BI, and the integration of machine learning and AI to optimize business processes and decision-making across all departments.
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You will work within a multi-disciplinary team with computational expertise in machine learning (ML), molecular simulation, optimization, and protein structure bioinformatics, and interface with our experimental team generating large datasets with novel high throughput assays aimed at informing predictive model development.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Scientific background in life sciences or engineering and demonstrated expertise in one or more of the following areas: data analytics, data visualization, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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Development and implementation of advanced machine learning models specifically designed for analyzing heterogeneous biological data. 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 are seeking an experienced Product Owner who is passionate about data, with a strong background in data analytics and Artificial Intelligence/Machine Learning (AI/ML) principles.
$95,625 - $159,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. 4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role.
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Collaborate closely with the Director of HR at MHP to prioritize professional development with a focus on diversity, equity, inclusion, and belonging, This encompasses talent acquisition, retention strategies, and fostering internal growth opportunities.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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Content and Curriculum: The Content and Curriculum team sets the vision for equity and excellence for each content area in DCPS schools by researching, creating, and curating curricular materials and providing aligned professional development experiences to ensure that all students have access to rigorous and joyful learning experiences every day in every content area.
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and inclusion product development machine learning jobs Title: senior product manager in East-hartford, Connecticut
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