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also required. The successful applicant will be highly skilled in molecular biology techniques (PCR, Western blot, DNA and RNA isolation etc) and cell culture. Knowledge on Flow cytometry and other
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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems
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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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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