17 phd-in-mathematical-modelling-population 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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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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-Grant HBCU with a diverse student population, competitive degree offerings and stellar faculty. For more than 140 years, the University of Arkansas at Pine Bluff has worked to create an environment
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. • Overseeing graduate students with the input of collected asphalt mixture test data into various pavement softwares including AASHTOWare Pavement ME) and Discrete Element Modeling Regular, reliable, and non
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Responsibilities Include: 1. Research Design and Project Management: o Design and manage research focused on Medicaid policy, payment models, and program impacts, with a particular emphasis on Arkansas. o Develop
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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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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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laboratory and project reports, preparing manuscripts for publication, assisting proposal writing, and graduate and undergraduate student supervision. Qualifications: Minimum Qualifications PhD in materials
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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