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to the bioinformatics field. Courses include primarily biological science courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek
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facing health, security, and sustainability with groundbreaking fundamental and applied research. By harnessing powerful tools and algorithms, researchers decode scientific complexities faster and at
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students to deploy AI systems in up to 200 homes in Atlanta, GA. You will be responsible for designing and deploying the infrastructure that connects sensors, AI inference systems, large foundational models
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architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines
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mixed lab equipment: mechanical, electrical, magnetic, fluidic, optical, as well as electronics utilized in experiments (e.g. sensors, imaging cameras, signal generators, oscilloscopes, multimeters, power
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field. Courses include primarily biological science courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek
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systems, including data protection, model security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization
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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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learning algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion