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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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. Qualifications: Minimum Qualifications: PhD in Biomedical Engineering or related field from an accredited university, conferred by the start of employment Working knowledge of research being undertaken Laboratory
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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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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
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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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commitments. Qualifications: Qualifications: · PhD and educational training in Animal Science or Veterinary Science. Knowledge & Skills: · Knowledge and experience of working with small ruminants. · Ability
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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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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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: Commensurate with education and experience Required Documents to Apply: Cover Letter/Letter of Application, Curriculum Vitae, List of three Professional References (name, email, business title), Unofficial
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characterization techniques such as Dynamic light scattering, Atomic Emission spectroscopy, scanning electron microscopy, transmission electron microscopy, Raman spectroscopy, Ultra violet-visible spectroscopy, X