1

Postdoctoral In Bayesian Statistics Jobs in North Carolina

The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with ... Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or ...

The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with ... Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or ...

The Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a ... a doctoral degree in Applied Mathematics, Statistics, Biostatistics, Computer Science ...

The Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a ... a doctoral degree in Applied Mathematics, Statistics, Biostatistics, Computer Science ...

Postdoctoral

Chapel Hill, NC

$41K - $56K/yr

Jobs range from Postdoctoral, Industry, and Research Institute positions. We attract high quality ... in bioinformatics and cheminformatics, working knowledge of multivariate statistical and data ...

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

next page

Showing results 1-20

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 the key skills and qualifications needed to thrive as a postdoctoral researcher in Bayesian statistics?

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.

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 popular job titles related to Postdoctoral In Bayesian Statistics jobs in North Carolina?

For Postdoctoral In Bayesian Statistics jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in North Carolina look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in North Carolina are:

What cities in North Carolina are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities in North Carolina with the most Postdoctoral In Bayesian Statistics job openings:

Infographic showing various Postdoctoral In Bayesian Statistics job openings in North Carolina as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Postdoctoral Associate in statistical science

Durham, NC • On-site

$65K/yr

Other

Posted 13 days ago


Job description

Postdoctoral Associate in statistical science

Mar 5, 2019

The Department of Statistical Science at Duke University is inviting applications for a Postdoctoral Associate in statistical science. The Associate will work on methodological research related to one or more of the following topics, depending on the candidate’s interests: (1) methods for protecting data confidentiality using differential privacy, including approaches for obtaining valid inferences from and generating differentially private synthetic data, (2) methods for handling non-ignorably missing values in large-scale social science data, including methods that utilize information from auxiliary data sources, and (iii) approaches to accounting for uncertainty in record linkage settings. The Associate will be supervised by Jerry Reiter, professor in the Department of Statistical Science.

The ideal candidate will hold a Ph.D. in statistical science or a related field and will have strong background in complex Bayesian modeling, computation in high dimensions, and an interest in social science/government applications. No previous experience in data confidentiality, missing data, or record linkage methods is necessary, although such experience will be viewed favorably. The Associate will be expected to participate in methodological research leading to publications in top statistical and applied journals. The appointment will be for a one year contract with potential for up to two years renewal. Salary is $65,125 per year.

Applicants should apply through Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/13327 ). Materials to upload include a CV, a statement of background and interests in the particular research described above, and contact information only for three references. Contact Jerry Reiter with questions (jreiter@duke.edu ).

All applications received by March 7 will be fully considered, and the position will remain open until filled.

Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke makes good faith efforts to recruit, hire, and promote qualified women, minorities, individuals with disabilities, and veterans.

#J-18808-Ljbffr