24 machine-learning "https:" "https:" "https:" positions at Illinois Institute of Technology
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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Rehabilitation Education Counseling PhD programs, (faculty teach four courses per year, which can be reduced through grant buyout or other external funding opportunities). The successful candidate will be able
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, needs, and compliance. Benefits Our commitment to employee well-being is reflected in our competitive benefits package located here: https://www.iit.edu/hr/benefits COMMUNICATIONS This position requires
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: https://www.iit.edu/hr/benefits COMMUNICATIONS This position requires excellent written and verbal communication skills. The position requires interaction with staff, students, faculty, administration
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career development, developing job and internship experiential learning and job search strategies, identifying employment opportunities and general preparation of students for the transition from Illinois
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career development, developing job and internship experiential learning and job search strategies, identifying employment opportunities and general preparation of students for the transition from Illinois
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evaluations of coursework from foreign institutions of higher learning and any documentation of prior learning submitted by applicants; review the documents for authenticity, follow-up for authenticity with
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DESCRIPTION The Humanities Department seeks an adjunct instructor to teach COM 438: Exhibit Design on our campus this fall semester. This is a project-based class serving students from a diversity of academic
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DESCRIPTION The Humanities Department seeks an adjunct instructor to teach COM 534 User Interface Design. This is an online, asynchronous course primarily serving graduate students in Technology and Social