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Field
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commuting to the assigned work location when necessary. Qualifications We Require: PhD in engineering, physics, applied mathematics, computer science or other relevant field Ability to obtain and maintain a
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and mentorship of junior colleagues and participation in professional societies. Position requirements: PhD in Physics, Medical Physics, Electrical/Biomedical Engineering or related field. MRI pulse
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sciences, oceanic sciences, physics, chemistry, mathematics and/or engineering. Applicants should submit a curriculum vitae, three letters of recommendation, and a 3-5 page statement of research
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of [map ] Subject Area: Physics / Condensed Matter Physics Appl Deadline: 2026/05/01 04:59 AM UnitedKingdomTime (posted 2026/03/25 04:00 AM UnitedKingdomTime, listed until 2026/05/02 04:59 AM
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 11 days ago
opportunities for interdisciplinary collaboration, publications, conference presentations, and participation in lab meetings and mentorship. The full job description is available, here: https://docs.google.com
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R. Brown School of Engineering and Computing The George R. Brown School of Engineering and Computing ranks among the top 20 undergraduate engineering programs (US News & World Report) and is strongly
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students within the lab. The successful candidate will have a demonstrated background in Chemistry, Physics, Engineering, or a field related to the research being conducted. The individual must be able
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background in integrating physics-based models with machine learning for predictive structural analysis Familiarity with AI-assisted design and decision-making, supporting engineers in evaluating design
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Engineering Group or Departmental Website: https://web.stanford.edu/group/magiclab/home.html (link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is
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Engineering, Environmental Engineering, Materials Science, or a related field. Demonstrated expertise in process modeling, particularly in chemical or environmental systems. Experience with optimization