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and cellular biology, assist in sorting platform development, perform molecular and in vivo characterization of sorted cells, analyze large-scale bioinformatics datasets to identify novel cell subsets
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investigators, laboratory scientists, students, and external collaborators. The ideal candidate will hold a PhD or equivalent experience in a relevant field and demonstrate strong expertise in bioinformatics and
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biopolymer modification for functional films or food products. · Experience in protein hydrolysis and the utilization of hydrolysates as functional ingredients. · Familiarity with bioinformatics-based
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teamwork skills. The position will initially be available for 1 year with renewal based on availability of funding and satisfactory performance. Qualifications: Required (Minimum) Qualifications: PhD in Food
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(undergraduate research supervisor: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof
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: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof. Michael R. Hoffmann's group
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, data managers, data analysts, and bioinformatics professionals involved in the projects. Identifies barriers, explores solutions, proposes and implements solutions while engaging the appropriate
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Technology) programs, mentoring PhD, MPH, and undergraduate students from data science and public health, conducting quantitative and qualitative data collection, data analysis, manuscript preparation, and
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contributing to grant development. The Fellow will also assist in lab management, mentor junior team members, and support regulatory and administrative compliance. Qualifications: PhD in Biology, Microbiology
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laboratory equipment. Qualifications: Minimum Qualifications The candidate should have (i) a PhD degree in food science, food engineering, or a related field, (ii) strong research experience in food