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: Please submit the following documents in PDF format: Detailed CV Transcripts of Master’s and PhD degrees Research statement (max 2 pages) Three representative publications Contact information for three
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. Successful applicants must have a PhD in a field related to survey methods techniques and transport demand modelling and demonstrated experience with state choice experiments, discrete choice models, virtual
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, departmental seminars, and international conferences. Publish high-quality research articles in peer-reviewed journals. Engage in limited teaching and mentorship activities. Minimum Qualifications: PhD in
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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receive a mobility credit to participate in conferences. Applicants must have a PhD in Mathematics, with a strong background in one of the advertised topics, as well as an excellent academic record
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, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly
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analytical techniques. Applicants must hold a PhD or equivalent degree in mechanical engineering, solid-state physics or chemistry, or materials solid-state chemistry. Candidates with experimental skills and
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structural centrifuge testing and physical modeling. Advanced instrumentation and experimental simulation. Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering
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assigned by the Line Manager Candidate Profile Essential Criteria PhD or post-doctoral experience from a reputable university in Mechanical, Chemical, Materials Science and Engineering or related discipline
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the Line Manager Candidate Profile Essential Criteria PhD from a reputable university in biochemistry, biological sciences, biotechnology, biomedical engineering, chemical engineering or related discipline