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Field
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of employment. Required Certification, Licensure/Other Credentials Preferred Qualifications Doctoral (Ph.D.) degree in Chemical Engineering, Materials Science, Computational Chemistry, Chemical Physics, or a
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group metals, rare earth metals). Minimum Qualifications • Ph.D. in chemistry, materials science or chemical engineering • Strong background in COF design and synthesis (particularly design/synthesis
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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need an individual with the following qualifications: • PhD in Food Science or Engineering, Chemical Engineering or Mechanical Engineering • Sound background in engineering or science with emphasis
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SPECIFICS The College of Information Sciences and Technology (IST), https://ist.psu.edu/ , at Penn State invites applications for the position of its inaugural Quantum Frontiers Postdoctoral Scholar
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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4 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other Physics
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21 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Biomedical engineering Researcher Profile
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Requirements Doctoral degree in statistics, industrial and systems engineering, electronic engineering, computer science, or related field. Required Qualifications, Competencies, and Experience Doctoral degree
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mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial