120 modal-analysis-machine-learning Postdoctoral positions at University of Washington
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Programming, Data Analysis, Data Interpretations, Experimentation, Imaging Analysis, Laboratory Operations, Laboratory Techniques, Magnetic Resonance Imaging (MRI), MATLAB, MRI Analysis, Multiple Sclerosis
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dedicated to understanding the molecular mechanisms of ATP-dependent AAA+ proteolytic machines in both bacterial systems and human mitochondria, exploring how these complexes form and achieve substrate
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques
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research team. Our work focuses on craniofacial regeneration and distraction osteogenesis, using cutting-edge multi-omic approaches (single-cell and spatial transcriptomics, genetic and biochemical analysis
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cloning, genome editing, etc.) Data analysis – basic skills in bioinformatics or genomic data analysis are required Contributing to laboratory organization and maintenance Presentations of data in lab
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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation
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or desire to learn bioinformatics analysis techniques. Good interpersonal skills and willingness to mentor students and technicians. Excellent speaking, reading and writing skills. Preferred
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: Experience with rodent behavior and olfaction. Proficiency in Python or other programming language for large data analysis. Experience with quantitative approaches to studying animal behavior. Experience with
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will require knowledge and experience with immunotherapies, peptides, chemical and biochemical analysis, and cancer models. Project work will involve peptides, formulation, analytical techniques, and use
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, experimental design and setup, data acquisition and data analysis. Experience with processing and analysis of bulk RNA and single-cell sequencing data and epigenetic sequencing data. Motivated for learning new