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Postdoc Python information

What are some common challenges postdoctoral researchers face when working with Python in academic research?

Postdoctoral researchers using Python often encounter challenges such as integrating Python with legacy codebases written in other languages, managing complex dependencies and environments, and ensuring reproducibility of research results. Collaborating with interdisciplinary teams may also require adapting code for different data formats and computational needs. Staying up-to-date with the latest Python libraries and best practices is crucial, as is documenting code so that it can be easily understood and used by other researchers.

What does a Postdoc Python do?

A Postdoc Python is a postdoctoral researcher who specializes in using the Python programming language for scientific research, data analysis, or software development. They typically work in academic or research settings, contributing to ongoing projects, developing computational tools, and publishing their findings. Their work may involve collaborating with other scientists, mentoring students, and advancing research through innovative coding and data analysis techniques. Proficiency in Python allows them to tackle complex problems in fields like bioinformatics, physics, engineering, and more.

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

To thrive as a Postdoc Python, you need a PhD in a relevant field, strong research experience, and advanced proficiency in Python programming. Familiarity with data analysis libraries (like NumPy, pandas, and SciPy), version control systems (such as Git), and computational tools is typically required. Critical thinking, problem-solving, and effective communication help differentiate outstanding candidates in collaborative and interdisciplinary environments. These skills ensure that complex research projects are executed efficiently, reproducibly, and with meaningful scientific contributions.

What is the difference between Postdoc Python vs Data Scientist?

AspectPostdoc PythonData Scientist
Required CredentialsPhD or equivalent in relevant field, strong Python skillsBachelor's or Master's in Data Science, Computer Science, or related field; Python skills often required
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, consulting firms
Industry UsageResearch projects, academic publicationsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonPostdoc Python vs Data Scientist

While both roles require strong Python skills, a Postdoc Python typically focuses on research and academic projects, often requiring a PhD. In contrast, a Data Scientist applies Python in industry settings to analyze data, build models, and support business goals. The work environment and career paths differ, with Postdocs leaning toward academia and Data Scientists toward industry roles.

What are popular job titles related to Postdoc Python jobs in Indiana? For Postdoc Python jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Postdoc Python jobs in Indiana look for? The top searched job categories for Postdoc Python jobs in Indiana are:
What cities in Indiana are hiring for Postdoc Python jobs? Cities in Indiana with the most Postdoc Python job openings:
Postdoc Python jobs near you

Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visi...

Indiana University Academic Positions

Bloomington, IN

$56K/yr

Other

Posted 20 days ago

Job description

Position Details
Title Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visiting Research Fellow Appointment Status Non-Tenure Track Department IU Bloomington Jewish Studies Location Bloomington Position Summary

Visiting Research Fellow

Position Details
Department: Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program
Location: Indiana University Bloomington
Appointment: Non-Tenure Track, 1-year initial appointment (renewable for 2nd year, depending on funding and performance)
Compensation: $56,000 plus benefits
Start Date:April 2026
Position Summary
ISCA seeks a visiting research fellow to advance understanding of contemporary antisemitism through computational analysis of social media platforms. This position focuses on digital humanities and social media analytics under Dr. Gunther Jikeli's supervision, with particular emphasis on analyzing Instagram activities and rhetoric patterns.
Key Responsibilities
Manage Research Lab Social Media & Hate operations, including coordinating with students and managing computing infrastructure
Lead and expand Instagram analysis project examining campus groups
Develop new computational research projects on contemporary antisemitism
Build computational pipelines for social media data collection and analysis
Supervise graduate and undergraduate research assistants
Write scientific publications and present findings
Required Qualifications
MA in computational social science, digital humanities, computer science, or related field
Python proficiency for data analysis and social media data collection
Demonstrated experience leading computational research projects with social media analysis
Strong organizational skills and ability to work as team leader
Excellent written and oral communication skills
Preferred Qualifications
Background in antisemitism studies
Experience with R, NLP and deep learning libraries
High performance computing experience
Proficiency in German, French, or Arabic
How to Apply
Submit the following through Indiana University's PeopleAdmin system: https://indiana.peopleadmin.com/postings/31588
Cover letter describing research background, career goals, and interest in position
Current CV
Contact information for two references
Writing sample (optional)

Review of applications begins February 14, 2026 and continues until position is filled.

Contact: Dr. Gunther Jikeli (gjikeli@iu.edu)

Note: This position involves research on sensitive topics and may require handling potentially disturbing content. Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
Basic Qualifications Required Qualifications
MA in computational social science, digital humanities, computer science, or related field
Python proficiency for data analysis and social media data collection
Demonstrated experience leading computational research projects with social media analysis
Strong organizational skills and ability to work as team leader
Excellent written and oral communication skills

Department Contact for Questions
Dr. Gunther Jikeli (gjikeli@iu.edu)
Additional Qualifications Preferred Qualifications
Background in antisemitism studies
Experience with R, NLP and deep learning libraries
High performance computing experience
Proficiency in German, French, or Arabic

Salary and Rank $56,000 - Visiting Research Associate ; FV8 Special Instructions For Best Consideration Date 02/13/2026 Expected Start Date 04/01/2026 Posting Number IU-101437-2025

Apply