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Field
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injection, ion transfer, and structural dynamics in realistic and model systems for battery materials. The position will span experimental efforts at large scale X-ray facilities, handling and reduction
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genetic mutations. We aim to advance our understanding of these diseases and to develop and translate therapeutic strategies for future clinical practice. The applicant is expected to work on mouse models
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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advance regenerative medicine. For more information about the lab, please visit https://mesa-lab.org/ .Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging
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Number: JR89754 Position Summary Postdoctoral positions are available in the laboratory of Dr. Rui Tang studying small cell lung cancer metastasis. The Tang lab applies a combination of cell/molecular
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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cellular and molecular biology, immunofluorescence microscopy, transgenic mouse models, or omics study. Previous experience with primary cells and mouse models. Knowledge, Skills, and Abilities Ability
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in academia, biotech/pharma, life-science investing, and consulting. Qualifications MINIMUM QUALIFICATIONS: MD or PhD in a related field Broad experience in molecular and cell biology methods and the
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks