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, advanced isotopic methods, scanning probe microscopy, X-ray and electron imaging, scattering or spectroscopy, geochemical modeling, and molecular modeling, to understand and control the fundamental molecular
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in the preparation of proposals for funding. Mentor graduate students and postdocs. We are looking for: PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
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pass applicable training, including Respirator Fit Testing, formal HAZWOPER training, and other related emergency response training. Some duties of this position require up to 1 hour per day of the
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stability and performance in nanoscale materials for microelectronics. You will measure interfacial thermal conductance in 2D material systems using advanced optical methods such as time-domain
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of noise and error sources in superconducting systems. Familiarity with benchmarking and characterization methods for quantum computers. Experience with tensor network methods and other scalable
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of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from brain organoids. This position
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planning and control methods. Demonstrates a thorough knowledge of: Engineering concepts, systems, calculations, applications, energy measurement, and construction methods, materials and economics
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presentation skills Mentoring students Contribute to the organization of workshops and conferences What is Required: PhD degree in physics or a relevant field. A minimum of 2 years of documented postdoctoral
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development. Engage in seminars, workshops, and group meetings to broaden scientific perspective and support growth. What is Required: PhD in a technical field such as chemistry, physics, materials science
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, Materials Science, or a related field. Hands-on experience with first-principles or atomistic methods relevant to interfacial systems, including DFT, ab initio MD, enhanced sampling techniques, or tight