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considered an advantage. Applicants will need expertise and desire to teach in various areas of Electrical and Computer Engineering. Current teaching opportunities specifically exist in programming, software
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-division undergraduate, and graduate), and training the next generation of researchers working in AI, natural language processing and machine learning, and computational methods for language. Qualifications
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seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include
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one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given
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areas such as data analysis, statistical modeling, machine learning, numerical modeling, or remote sensing Preferred Qualifications A general understanding of ecosystem modeling or ocean circulation
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regulations.) Relevant education and experience may be substituted as appropriate. Preferred Qualifications Advanced Degree: MS or PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering
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in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities
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) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee
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such as machine learning on time series, ability to lead teams of data scientists and fellow researchers, ability to perform novel research in the geosciences, and evidence of publications. The ideal
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in heterogeneous integration. Other related functions as assigned. Required Qualifications A PhD received within the last 3 years in Electrical and/or Computer Engineering or a closely related