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considered an advantage. The position requires an innovator and problem solver with solid understanding of satellite data and imagery. Preferred candidate will have experience with machine learning and
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experience in building and interacting with relational databases (e.g., PostgreSQL) and APIs would be a plus Education and training PhD in Bioinformatics or in Biology, Machine Learning, Statistics, Physics
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an accessible manner and will have a strong understanding of machine learning and AI including python and pytorch. Your role will be pivotal in establishing NDIF as a leading hub for AI research in America. You
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, Spark! serves as the experiential learning engine for students majoring in computer science, data science, computer engineering and related disciplines, providing opportunities for students to work
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experience integrating machine learning models into applications. Knowledge of libraries like PyTorch is essential. Strong understanding of web technologies including HTML5, CSS3, and JavaScript. Experience
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form of active pharmaceutical ingredient (API) and drug product formulations from discovery to commercial launch. You will be able to leverage your existing scientific knowledge, as well as develop in
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to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust
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sources such as learning management systems (LMS), assessment platform, application, external APIs Extract, transform and load structure and unstructured data into data warehouse/cloud system Develop and
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sources such as learning management systems (LMS), assessment platform, application, external APIs Extract, transform and load structure and unstructured data into data warehouse/cloud system Develop and
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languages (including JAVA) as necessary to efficiently support and troubleshoot systems. Recommend, request, and tune system monitoring. Enforce/apply security policies. Learn and apply new systems and system