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What is a Postdoc in Topological Data?

A Postdoc in Topological Data is a researcher who has completed their PhD and is engaged in advanced research focused on the application of topology—an area of mathematics dealing with spatial properties—to analyze and interpret complex data sets. These positions typically involve both theoretical work and the development of computational tools to extract meaningful patterns from high-dimensional or complex data. Postdocs in this field often collaborate with interdisciplinary teams in mathematics, computer science, and applied domains such as biology or engineering. The role is intended to deepen expertise, publish research, and prepare for academic or research-intensive careers.

What are some typical collaborative opportunities for a Postdoc in Topological Data within academic or research settings?

As a Postdoc in Topological Data, you can expect to collaborate closely with interdisciplinary teams, including mathematicians, computer scientists, and domain experts from fields like biology or materials science. Collaborative projects often involve developing or applying topological methods to analyze complex datasets, contributing both theoretical insights and computational tools. These interactions may include co-authoring research papers, participating in joint seminars, and working with graduate students. Such collaborations not only broaden your research impact but also help expand your professional network and skill set.

What are the key skills and qualifications needed to thrive as a Postdoc in Topological Data, and why are they important?

To thrive as a Postdoc in Topological Data, you need a strong background in mathematics (particularly topology, algebra, and geometry), data analysis, and a PhD in a related field. Familiarity with computational tools like Python, R, MATLAB, and software libraries for topological data analysis (such as GUDHI or Ripser) is typically required. Exceptional problem-solving ability, collaboration, and strong scientific communication skills help distinguish top candidates in interdisciplinary research environments. These skills are crucial for advancing research, publishing high-quality work, and contributing effectively to collaborative scientific projects.
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Postdoc In Topological Data jobs near you
Postdoctoral Scholar-Pediatrics Research

Postdoctoral Scholar-Pediatrics Research

The University of Tennessee

Memphis, TN • On-site

Full-time

Posted 23 days ago

Job description

THIS IS A GRANT FUNDED POSITION FUNDED UNTIL APRIL 30, 2029

JOB SUMMARY/ESSENTIAL JOB FUNCTIONS: The Department of Pediatrics seeks a Postdoctoral Scholar to design and execute research studies aligned with grant-specific aims, analyze and interpret data, disseminate findings through publications and presentations, and contribute to the successful completion of sponsored project deliverables. This position advances the institution's mission by promoting high-quality research, ensuring regulatory compliance and data integrity, and fostering professional development toward independent research careers. This is a mentored research training position responsible for conducting advanced scientific investigation in support of externally funded research programs at UT Health Science Center

EDUCATION: Ph.D. or equivalent Doctoral Degree in a relevant scientific field from an accredited institution. 

EXPERIENCE: Experience working on animal experiments and flow cytometry. Demonstrated research experience aligned with the department's focus area. Record of scholarly productivity (e.g., peer-reviewed publications, abstracts, or presentations)

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Strong analytical, quantitative, and problem-solving skills.
  • Knowledge of research compliance standards (e.g., IRB, IACUC, biosafety).
  • Excellent written and verbal communication skills.

WORK SCHEDULE: This position may occasionally be required to work weekends.

  1. Conducts advanced, mentored research in support of the department's funded research portfolio at UT Health Science Center. 
  2. Designs and conducts experiments/studies aligned with grant-funded aims.
  3. Collects, analyzes, and interprets data.
  4. Prepares manuscripts, abstracts, and presentations.
  5. Assists with grant reporting and contributes to future grant submissions.
  6. Ensures compliance with IRB/IACUC, biosafety, and other regulatory requirements.
  7. Maintains accurate research documentation and data integrity.
  8. Mentors students or junior research staff as appropriate.
  9. Performs other duties as assigned.

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