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postdoctoral research associate in the field of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput
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cell driven regeneration using mouse models. The successful candidate will support projects investigating the molecular mechanisms of osteoarthritis and epiphyseal cartilage regeneration, as
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drug design, protein structure modeling and simulations, target-based and phenotype-based compound screening, single cell data analysis and modeling, medical imaging processing, Natural
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, with a focus on arboviral diseases (e.g., dengue or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation
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, with a focus on arboviral diseases (e.g., dengue or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation
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chemical discoveries for renewable energy, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing
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foundation in at least a few of the following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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in catalysis, energy, and sustainability. One of the major interests of our group is in developing functional materials for applications focused on gas storage and molecular separations, which have the
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to, Simulations Plus, Phoenix (e.g., IVIVC toolkit) and Simcyp. Understanding of in vitro release and bioequivalence assessment principles and strategies. Hands-on proficiency in cell culture, tissue processing and