12 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of Arkansas
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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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computational modeling. · Strong analytical skills, with experience in HPLC, GC-MS, LC-MS, FTIR, and NMR. · Excellent writing ability, with some experience in statistical analysis, process modeling, manuscript
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the university. The research will focus on projects studying sepsis, inflammation, and organ injury in large animal models. Following demonstration of competence, the fellow will have autonomy in
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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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ecology and management research, expertise in long-term ecological data analytics and modeling, and proficiency in statistical analysis are encouraged to apply. Preference will be given to candidates with
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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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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