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Field
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Stimulated Raman Spectroscopy (PARS) method. Research tasks will include design, development and optimization of the full PARS system including a Raman cell pumping scheme, a photoacoustic cavity, and an
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responses. The successful candidate will work at the interface of viral vector development and cancer immunology, contributing to NIH-funded projects involving VSV platform optimization, immune modulation
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to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, engineers, and clinicians. The specific goals of the research are to optimize intraretinal stimulation. Using novel carbon fiber array technology, we will stimulate inner retina cells and record evoked
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, engineering, physics, or similar fields by the expected start date. Additional Qualifications Applicant should ideally have some experience in electric power systems, artificial intelligence, and optimization
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many-body physics, spin dynamics, quantum simulation, quantum optimal control, quantum optics, atomic physics. Required Skills: PhD in a field of research related to experimental quantum physics Broad