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Postdoctoral In Bayesian Statistics Jobs in Nebraska

Varsity Tutors

Statistics Graduate Level Tutor

Omaha, NE · Remote

$18 - $40/hr

... In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian ...

Varsity Tutors

Statistics Graduate Level Tutor

Lincoln, NE · Remote

$18 - $40/hr

... In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian ...

Boystown

Postdoctoral Research Fellow- DiCON

Omaha, NE

$46K - $63K/yr

Tony Wilson at Boys Town National Research Hospital seeks a postdoctoral fellow to work on NIH ... expertise in neuroimaging, statistical modeling, and/or cognitive neuroscience is essential.

Boys Town

Postdoctoral Research Fellow- DiCON

Omaha, NE · On-site

$46K - $63K/yr

Tony Wilson at Boys Town National Research Hospital seeks a postdoctoral fellow to work on NIH ... expertise in neuroimaging, statistical modeling, and/or cognitive neuroscience is essential.

Sotera Health

... is a must • Doctorate in Toxicology (or related field), postdoctoral fellowship in a ... on STAT projects • Excellent communication skills • Leading phone calls • Act as SME on ...

All JobsPostdoctoral In Bayesian Statistics JobsPostdoctoral In Bayesian Statistics Jobs in Nebraska

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?

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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Postdoctoral In Bayesian Statistics jobs near you

Postdoctoral Research Associate

University of Nebraska Medical Center

Omaha, NE

Full-time

Re-posted 27 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

53rd of 1,054 rated hospitals

Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2025 - 291 Department Neurological Sciences 50001975 Business Unit(College/Institute) College of Medicine FTE:
100
Reg-Temp Full-Time Regular Work Schedule As directed by supervisor Requisition Category Research - Academic Requisition Title Postdoctoral Research Associate Job Title/Academic Rank Postdoctoral Research Associate Additional Requisition Title Appointment Type A1 - REG OTHER ACAD SAL Salary Range Salary Commensurate with Experience Job/EEO Category Professional Non-Faculty (Includes Other Academic) Job Requisition Begin Date 12/16/2025
Position Qualification
Position Summary
The WANG Lab at the University of Nebraska Medical Center's Department of Neurological Sciences is seeking a Postdoctoral Research Associate. The Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including but not limited to, disease diagnosis/prognosis, biomarkers identification and treatment prediction, etc.
Required Qualifications:
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.

Questions may be directed to Dr. Jieqiong Wang at jiwang@unmc.edu
Required Qualifications
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.
Supplemental Qualifications

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