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graduate levels within the MIE department with primary emphasis on simulation, algorithms and optimization, data mining, database management, machine learning, and data analytics, as well as experience in
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Engineering subareas, which may include computer programming, algorithm design, digital logic design and computer architecture. At least 2 years’ experience in teaching at the college/university level is
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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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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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algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science professionals with a desire to