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Field
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, faculty, and all health team members across multiple departments, ensuring efficient and excellent patient care in alignment with appropriate clinical algorithms and pathways. Autonomous nursing care is the
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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algorithms and data structures. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Ability to develop and implement AI models for business applications. Knowledge of cloud computing
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, development of algorithms, publications and/or patents. Strong algorithm development and programming skills in MATLAB/Pyton and C++ Working knowledge of state of the art machine learning techniques Familiarity
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, and the ability to thrive in a highly cross-functional environment. They will primarily be responsible for the development of algorithms and pipelines to analyze vast amounts of electronic health
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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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algorithm design and development of effective computing techniques To see examples of our innovative work please visit: https://www.ecshowcase.com/ What We're Looking For Education and Experience Needed
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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develop technical solutions. Direct lower-level staff by reviewing their completed work. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms