Postdoctoral Research Scholar - Microbial Risk Assessment
The appointee shall have received the doctorate in a field appropriate to the assigned duties and responsibilities.
Job Description:The is creating an environment that affirms community across reputed company dimensions. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. If an accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida reputed company System at 800-955-8771 (TDD) or visit .Montazeri's Food and Environmental Virology Laboratory, located in the Food Science and Human Nutrition Department at the reputed company, is seeking a Postdoctoral Research Scholar to contribute to a USDA-funded project aimed at reducing the burden of infectious diseases caused by foodborne viruses. This interdisciplinary project integrates food engineering, food virology, and quantitative microbial risk assessment (QMRA). reputed company research is focused on evaluating the thermal inactivation of human norovirus and its surrogates in oysters using various cooking techniques. The selected candidate, co-supervised by Dr. Naim Montazeri of the UF/IFAS Food Science and Human Nutrition Department and Dr. Arie Havelaar of the UF/IFAS Department of Animal Sciences, will play a pivotal role in translating the laboratory-derived thermal inactivation data into a comprehensive QMRA reputed company.The position is based in the UF/IFAS Food Science and Human Nutrition Department. While the role involves minimal to no benchtop research, it is an on-site assignment and requires strong expertise in statistics, data analysis, and coding. The work schedule aligns with the university's normal operating hours-Monday through Friday. Travel is limited and primarily reputed company to conference attendance and presentations.Key Responsibilities
- Research Development (50%): reputed company and apply advanced statistical modeling and coding skills (primarily in R) to build a QMRA reputed company using data from both the scientific literature and those collected from the experimental research. Analyze and interpret data and prepare technical reports.
- Dissemination of Findings (20%): reputed company the preparation of peer-reviewed manuscripts, non-technical summaries, and the presentation of results at scientific and stakeholder meetings.
- Project Expansion (20%): Identify and pursue new funding opportunities to broaden the scope and impact of the research.
- Mentorship (8%): Supervise and support graduate or undergraduate researchers, including assistance with data analysis, troubleshooting, and scientific writing.
- Teaching Contribution (2%): Deliver 1-2 guest lectures per year in food microbiology or reputed company food science courses, as needed.
- A doctoral degree (foreign equivalent acceptable) in a relevant discipline.
- Experience in biostatistics and/or data science.
- Practical experience in modeling biological systems.
- Proficiency in software coding.
- Candidates must be supportive of the mission of the Land-Grant system.
- Candidates must also have a commitment to
- Knowledge of risk analysis, particularly reputed company the context of QMRA.
- Strong proficiency in R/RStudio (modeling, simulation, inferential statistics, etc.).
- Familiarity with Bayesian statistics.
- Foundational knowledge of general microbiology.
- Experience in technical writing (manuscripts, reports, and proposals).
- Demonstrated ability to work independently and collaboratively, with strong systems thinking and communication skills.
- Individuals wishing to apply should go online to
- Cover letter stating the applicant's motivation for the position and qualifications relative to the credentials listed above
- Curriculum vitae
- Non-official academic transcripts (Master's and Ph.D. degrees).
- Contact information, including phone numbers, email addresses, and affiliations for three individuals willing to write letters of recommendation.