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Doctoral Scholar to pursue specialized research training, education, and experience under the guidance of the Principal Investigator in the Department of Molecular Medicine & Therapeutics (Nishiga Lab
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and non-myocyte cells; utilizes CRISPR-Cas9 genome editing to model genetic cardiovascular diseases; performs molecular biology techniques (qPCR, Western blotting, cloning, library preparation for omics
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of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical scope
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for safer and more effective cancer treatment. These will include the use of biochemistry, cell biology, immunology, molecular biology, proteomics, animal modeling and mouse genetics, translational medicine
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to the development and refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Sciences | Evolution Ecology and Organismal Biology-Interim The Postdoctoral Scholar will participate in a lab- and field-based research project that evaluates the underlying molecular mechanisms that allow
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| Neurological Surgery Postdoctoral fellow with experience in neuroscience (including peripheral nerves), adipose, metabolism, and molecular techniques including ELISA, confocal microscopy immunostaining, and
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cell culture, phylogenetic analyses of large next-generation sequencing (NGS) datasets, and models of trait evolution. The post doc will also integrate molecular data with comparative and evolutionary
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, Oncology, Immunology, Molecular or Cellular Biology, or a related field At least one first-author publication in a relevant research area Experience with animal models, spatial transcriptomics, or multi