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Field
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. Minimum Requirements A PhD in Electrical and/or Computer Engineering, or a closely related field, is required for all ranks. Assistant Professor: PhD by the time of appointment. Associate Professor: In
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; a demonstrated interest in educational innovation; strong problem-solving, debugging skills and working knowledge or familiarity with machine learning, deep learning, statistical software, and
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five (5) years of documented experience as an actively practicing professional in the discipline to be taught or a PhD in a Computer Science, Computer Engineering or related field. Evidence of effective
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academic institutions to translate research into viable solutions. Job Requirements: Preferably PhD in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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, enabling trustworthy computation without compromising energy budgets. Treating security as a first-class citizen when designing hardware components and future computer architectures requires novel design
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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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machine learning venues; prepare manuscripts for peer-reviewed publication; create clear technical presentations and present findings at national and international conferences. Develop research directions
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Apply now Job no:536882 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science Department: CAS Computer Science Rank: Instructor Annual Basis: 9
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior