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Field
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materials manufacturing smart infrastructure sports engineering Our department hosts a leading digital manufacturing hub (PrintCity ), with a wide range of equipment that can be used to make mechanical
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Yes Description of Work The Smart Materials and Robotics Laboratory (https://smr.unl.edu/ ) in the Department of Mechanical and Materials Engineering (MME) is seeking a postdoctoral research associate
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metamaterial tessellations. Experimental testing of fatigue properties. Impact testing. Qualifications: Must have recently obtained a Ph.D. degree; preferably in Mechanical Engineering. Extensive experience in
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Field: Mining Engineering, Industrial Engineering, Data Science Duration: 12 months, renewable once. Location: UM6P, Benguerir Campus Preferred Start Date: As soon as possible Context and Objectives
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Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering
) to applied energy research (e.g., fuel cells, gas turbines, smart grids). These positions require a Ph.D. in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Environmental Engineering, and
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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
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We are seeking a motivated and Talented experimentalist for a full-time Research Assistant in Quantum Thermodynamics within Professor Ares’ research group at the Department of Engineering
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The Department of Civil and Mechanical Engineering , Section of Manufacturing Engineering, invites applications for a 2-year Postdoc position. Research field Develop implantable bioelectronics
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Energy Systems, Mechanical Engineering, Process Engineering, Applied Physics, or a related field, with hands-on experience in modelling and analysis of thermal energy systems or energy transition scenarios
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, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications