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-driven, physics-based simulations in VR/AR to facilitate the acquisition of complex physical tasks. This includes real-time feedback loops, biomechanical modeling, and adaptive training environments
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chemistry, chemical engineering, materials science, mechanical engineering, nanoscience, physics, or a closely related discipline. Experience in one or more of the following areas would be advantageous
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theoretical and computational methods to fundamental problems in materials growth. A strong background in thermodynamics, kinetics, statistical mechanics, solid-state physics, physical chemistry, or
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interdisciplinary research department uniting theoretical and experimental biology with advanced bioengineering and fostering close collaborations with leaders in materials science, physics, and chemistry to
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projects spanning macromolecular chemistry , soft matter physics , and physical chemistry . Academic excellence, a professional work attitude, and a proactive and self-driven work ethic are expected
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hand and forearm ( Nature, 2023 ). We close the sim-to-real gap with learned residual physics ( RA-L, 2024, Best Paper Award ), and we released SORS , a modular high-fidelity soft-robot simulator, at
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theoretical and experimental biology with advanced bioengineering and fostering close collaborations with leaders in material science, physics, and chemistry to drive transformative advances in systems
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experimental biology with advanced bioengineering and fostering close collaborations with leaders in material science, physics, and chemistry to drive transformative advances in systems biology
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. PhD in Physics, Chemistry, Materials Science, Engineering, or a closely related discipline Proven experience working in semiconductor cleanroom environments, with a solid understanding of semiconductor