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policymakers Qualifications This position requires a PhD in Robotics or a related field in Computer Science or Engineering. Candidates should have demonstrated excellence and future vision in conducting research
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This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2026. Applicants from all areas of statistics are encouraged to apply, particularly those
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candidate is also expected to play an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students. Applicants must hold a PhD in
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, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials
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fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and include housing and educational
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CO₂ emissions reduction. The candidate will join a dynamic, multidisciplinary team of PhD-level scientists, graduate, and undergraduate students working at the intersection of water treatment
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independently and collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant
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-doctoral Associate to work on a broader field of geotechnical engineering. Required Qualifications: A successful applicant must have a PhD in Geotechnical Engineering, or a related field with a focus on one
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have a PhD in Computer Engineering, Computer Science, or Electrical Engineering. Expertise in Quantum Physics is a plus point. Applicants with a PhD in Quantum Physics are also welcome, but they should
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of Expertise: Forensic Psychology Criminal Justice Victimology Youth Offending Clinical Psychology with Criminology Offender Rehabilitation Candidate Requirements: Qualifications: A PhD in Criminology, Clinical