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satisfactory performance. Degree/Field of Study: PhD in fluid dynamics, geomechanics, computational geomechanics by start date with Penn State. Applications must be submitted electronically and include a CV
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functional digital twin environment. Contribute to industrial validations, results presentations, and scientific publications. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Applied
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driver's license is not required for this position. More About This Job Required Qualifications: PhD in Psychology or related field. Preferred Qualifications: Experience in the fields of digital
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning
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. This post is advertised as full-time (35 hours per week), however, we are open to considering flexible working patterns. Your skills and attributes for success: A PhD (or to be obtained within 3 months) in a
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publications and contribution to collaborative proposals. Support of graduate student mentorship and lab coordination. Required Qualifications & Experience PhD in Materials Chemistry, Extractive Metallurgy
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, other racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Qualifications PhD in Chemical or Industrial Engineering, or relevant equivalent experience Strong
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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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Requirements A PhD in Biochemistry, Molecular Biology or Cell biology. A requirement for the position is evidence of peer-reviewed publications in a related field, and general enthusiasm for science. Skills
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working under the supervision of Prof Wooldridge. Candidates will be expected to have a PhD (or be close to completion) in a related area. The primary selection criteria will be relevant research experience