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opportunities in quantum science. We are also interested in optically manipulating collective properties of molecular crystals. Applicants should have a strong experimental background and a PhD in physics
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in computational biology, biomedical engineering, bioinformatics, computer science, statistics, or a related field. Strong background in machine learning, data integration, and high-dimensional data
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, Quantum Information Science , quantum information theory , quantum information/computation , Quantum magnetism, quantum phase transitions , Quantum many-body structure and their manipulation , Quantum
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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digital forestry, genetics, ecology, remote sensing, data science, entomology, wildlife and economics. The postdoc will have opportunities to interact and collaborate with other postdocs and graduate
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signature preservation. A PhD in geology, planetary science, or a closely related field is required. Experience in reflectance, emission, or FTIR spectroscopy is preferred. The position is available