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machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop
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in basic molecular and cell biology techniques including mammaliam cell culture Must have experience with CRISPR and shRNA technology Must have some experience working with vertebrate animal models
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, and a subset of patients develop devastating fibrotic disease years after undergoing treatment. Incomplete understanding of the molecular mechanisms driving radiation-associated fibrosis has slowed
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assets. Knowledge, Skills, and Abilities: Knowledge and understanding of commonly-used concepts, practices, and procedures within the field of cancer biology. Ability to perform basic cell and molecular
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the dissolution capability of microneedle patches and transdermal drug release by plasma sample analysis focused on animal models. Finally, the research plan will include a component of simulation to describe
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: Strong foundation in statistical theory; ability to derive and clearly communicate methodological results. Advanced R and/or Python programming skills in statistical analysis, simulation, and computation
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Postdoctoral Researcher position in AI and machine learning, with a focus on patient-specific reconstruction of coronary vessels and the simulation of stenting techniques using Finite Element Analysis (FEA) and
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Simulations Engineer to work in the Center for Digital Cardiovascular Innovations. The focus of the position will be to design and conduct highly specialized and advanced simulations (FEA, CFD), including
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interpret experimental data. Perform theoretical calculations and numerical simulations related with the experiments. ·Disseminate research results in the form of peer-reviewed publications, conferences, and
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Education: Ph.D. in biochemistry, chemistry, molecular biology or another relevant field required Experience: no experience required Knowledge, Skills and Attitudes: Has the appropriate expertise in discovery