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include: (1) implementing light–matter interaction in CFD via the radiation transport equation and suitable attenuation models; (2) integrating kMC-based surface kinetics through machine-learning surrogate
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retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer committed
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/Mey 24G8b1X Deadline for submission of applications: 19 December. TITLE OF THE POSITION OFFERED: Research and Development in Machine Learning for smart cities. SUBJECT AREA: Computer Science. TYPE
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for the realization of Society 5.0); and addressing the associated ELSI (Ethical, Legal, and Social Issues). https://www.emi.kanazawa-u.ac.jp/ [Work content and job description] the successful candidate will lead the
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Previous Job Job Title Part-Time Programmable Logic Adjunct Faculty in Electrical and Computer Engineering Next Job Apply for Job Job ID 371643 Location Duluth Job Family Academic Full/Part Time
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Previous Job Job Title Part-Time Digital Logic Adjunct Faculty in Electrical and Computer Engineering Next Job Apply for Job Job ID 371642 Location Duluth Job Family Academic Full/Part Time Part
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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Science (Ref: FST241110) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning, Data Mining, Data Processing
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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in