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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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reporting. Candidates must have a PhD in MatSE and experience in mechanics of materials, computational modeling, and experimental characterization of materials. Candidates should submit a CV and cover letter
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demonstrate that you meet the following essential criteria: Applicants must have a degree in Pharmacy, Pharmaceutical Sciences, Chemistry, Chemical Engineering, Mechanical Engineering or a closely-related
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professional references Special Schedule Requirements EEOC Statement Export Control Statement Qualifications Education & Experience PhD in materials Science, Mechanical Engineering and experience in Metal AM
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co-supervision of student projects) Profile A master's degree in engineering, environmental sciences, or physics. Strong interest in experimental fluid mechanics. Experience with experimental (fluid
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on bipolar solid state Na-ion cells fabricated as part of this project. Qualifications • Have completed PhD in Mechanical Engineering or Chemical Engineering or Materials Science & Engineering or
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boundaries. This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle
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and Final Year Project (FYP) students in their research and project development Provide regular feedback and support to ensure students' progress and success Job Requirements: PhD in Mechanical
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). The department offers BS, MS, and PhD degrees in Mechanical Engineering. Enrollment during AY 2024-2025 was 188 pre-engineering students, 223 ME undergraduates, and 45 full-time graduate students. About Baylor
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: This position is ideal for candidates with a background in civil engineering, structural engineering and mechanical engineering. Applicants should demonstrate: A strong interest in both experimental and numerical