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Field
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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oversee installation of building automation systems, communication networks, computers and instrumentation hardware. Ability to install and oversee installation software algorithms for distributed
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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of the developed algorithms Overseeing project budget and coordinating the procurement and maintenance of equipment Providing mentorship and academic guidance to students Preparing and compiling reports pertaining
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. Strong applied knowledge of classical machine learning algorithms, including implementation with scikit-learn, model evaluation using metrics such as accuracy, precision, recall, F1-score, and
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academic experience in one or more of the following, or closely related, areas: AI Ethics and Responsible AI Software Engineering Programming Fundamentals Algorithms and Problem Solving Software Design and
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environments. Develop and refine advanced optimization algorithms for the Energy Management System (EMS), including energy dispatch, energy storage control, load scheduling, and market participation strategies
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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations