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Postdoctoral In Bayesian Statistics Jobs in Missouri

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Experience in travel-tech, telecommunications, or subscription-based digital products is a strong plus. * Familiarity with advanced statistical methods, such as Bayesian modeling or machine learning ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

JOB SUMMARY The postdoctoral fellow at the Department of Psychiatry and Behavioral Neuroscience at ... Proficiency in statistical analysis software such as Stata, R, or SAS. * Strong interpersonal and ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO

$47K - $64K/yr

JOB SUMMARY The postdoctoral fellow at the Department of Psychiatry and Behavioral Neuroscience at ... Proficiency in statistical analysis software such as Stata, R, or SAS. * Strong interpersonal and ...

University of Rochester

$61K - $85K/yr

... for postdoc and student postings. * Coordinates the semi-annual effort certification process in ... Analyzes and interprets data, statistics and financial information and identifies significant ...

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Postdoctoral In Bayesian Statistics information

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
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Infographic showing various Postdoctoral In Bayesian Statistics job openings in Missouri as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution.
Assistant Professor of Agroforestry

Assistant Professor of Agroforestry

Lincoln University

Jefferson City, MO • On-site

Full-time

Re-posted 29 days ago

Job description

Purpose:

Lincoln University of Missouri invites applications from highly motivated, creative individuals to apply for the position of Assistant Professor of Agroforestry with research experience in silvopasture, alley cropping, forest farming practices, etc. This is a 12-month, non-tenure track, full benefit-eligible faculty position with 75% research and 25% extension/outreach appointments.

Essential Job Functions, Duties, and Responsibilities:

  • Develop a high-impact, nationally recognized, innovative agroforestry research program (AFRP) that addresses current challenges and opportunities in Missouri and beyond.
  • Publish research findings in peer-reviewed journals and present at both grower-focused and professional conferences.
  • Conduct science-backed educational outreach that aligns with producers' needs as related to agroforestry practices (silvopasture, alley cropping, and forest farming, etc.).
  • Write grant proposals for extramural, competitive funding to support an AFRP.
  • Publish research findings in peer-reviewed journals and contribute to relevant professional societies.
  • Collaborate with faculty within the University and other institutions.
  • Work closely with University's research farms, extension educators, and industry partners.
  • May be required to teach courses relevant to their expertise, supervise undergraduate and graduate students, and provide department, college, and university services as assigned.
  • Other duties as assigned by the Dean or Associate Research Director.

Knowledge, Skills, and Abilities:

  • Demonstrated ability to conduct quality research, publish research articles in peer-reviewed journals, and secure extramural funding through grant proposals.
  • Strong interpersonal skills with demonstrated verbal and written communication skills.
  • Self-motivated with excellent organizational skills and attention to detail.
  • A collaborative mindset, valuing different perspectives and working effectively in a collaborative environment.

Qualifications:

  • Ph.D. in Agroforestry, Forestry, Natural Resource Management, or a closely related field.
  • Background in experimental design, data management, and statistical analysis.
  • Demonstrated record of research and peer-reviewed publications in agroforestry.

Preferred Qualifications:

  • Experience of postdoctoral research in agroforestry is preferred.
  • Track record of securing extramural funding through grant proposals.
  • Familiarity with critical and emergent issues related to forestry/agroforestry in Missouri and beyond.

Physical Demands:

  • Prolonged periods of sitting at a desk and working on a computer.
  • Ability to drive vehicles and must have a valid driver's license.
  • Ability to lift up to 25 lbs.

This job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Lincoln University. Since no job description can detail all the duties and responsibilities that may be required from time to time in the performance of a job, duties and responsibilities that may be inherent in a job, reasonably required for its performance, or required due to the changing nature of the job shall also be considered part of the jobholder's responsibility

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