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Postdoc In Topological Data Jobs in Pennsylvania

The Pennsylvania State University

... aspects of data privacy methodology, including validity of inference, measurement error ... D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ...

The Pennsylvania State University

Proficiency in data analysis and scientific writing (evidenced by publication record). Creative ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

A strong background in artificial intelligence, machine learning, computational science, data ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

... data platform. The position requires close collaboration with LATTICE domain scientists in thin ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

... in data collection and data management; preparing grant proposals, manuscripts, and conference ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

... data-driven approaches in molecular and cellular biology. Research may involve protein structure ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

We seek candidates with deep professional expertise in data journalism and a demonstrated record of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

The Postdoctoral Scholar should have expertise in and conduct research on health disparities in at ... Conduct independent data management, statistical analyses, and interpretation of findings using ...

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Postdoc In Topological Data information

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 the key skills and qualifications needed to thrive as a postdoc in topological data?

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.

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.

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Postdoctoral Fellowship in Developmental Psychopathology and Epigenomics

University of Pennsylvania

Philadelphia, PA • On-site

$49K - $67K/yr

Full-time

Re-posted 26 days ago

University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

169th of 627 rated colleges and universities

Job description

Description
The University of Pennsylvania Graduate School of Education (Penn GSE) invites applications for a postdoctoral fellowship in Family Processes, Developmental Psychopathology, and Epigenomics. This two-year, full-time position is expected to begin July 1, 2026, though the start date is flexible (July-September).
The postdoctoral fellow will collaborate closely with Dr. Justin Parent and his team on research projects centered on family processes, epigenetics, and child sleep health. The fellow will assist with data analysis and manuscript preparation related to parenting, sleep, and child DNA methylation. They will lead a research team launching a new NHLBI-funded R01 that will integrate passive sensing, daily diaries, observational assessments, multi-informant surveys, and epigenomic data. The fellow will allocate 50% of their time to manuscript writing, data analysis, and grant proposal development, and the remaining 50% to project management and mentoring graduate and undergraduate students. This is an in-person position based in Philadelphia with flexibility for hybrid work.
Please note that this role is contingent upon grant funding.
Qualifications
The successful candidate will possess/demonstrate:
  • A completed doctoral degree in human development, child clinical psychology, epigenomics, or a related field is required by the start date.
  • Strong organizational, communication, and interpersonal skills
  • Highly valued qualities include strong academic writing skills and experience in effective interdisciplinary collaboration.
  • Evidence of prior experience with one of the core lab domains (i.e., parenting, sleep, epigenomics, child development & health).

Application Instructions
Applications should be submitted through Interfolio and must include the following materials:
  • A one-page cover letter
  • Curriculum vitae
  • Contact information for three references

Review of applications will begin on May 1, 2026, and continue until the position is filled.

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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

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