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Phd Python Jobs in Tennessee (NOW HIRING)

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

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Phd Python information

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.

What skills and qualifications are needed to thrive as a PhD Python developer?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within research or industry settings?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas and use Python as a primary tool for research and data analysis. Gaining expertise in Python, along with a strong foundation in research methods, is essential for completing such a PhD.

What are 10 careers related to Python?

Careers related to Python include software developer, data scientist, machine learning engineer, backend developer, automation engineer, data analyst, research scientist, DevOps engineer, cybersecurity analyst, and quantitative analyst. These roles often require strong programming skills, knowledge of libraries like Pandas or TensorFlow, and experience with software development environments. Python's versatility makes it applicable across industries such as finance, healthcare, technology, and research.

Which Phd Python job is in demand?

PhD Python roles in data science, machine learning, and artificial intelligence are currently in high demand, especially in research institutions, tech companies, and finance. These positions often require strong programming skills, experience with frameworks like TensorFlow or PyTorch, and advanced knowledge of algorithms and data analysis.

What are popular job titles related to Phd Python jobs in Tennessee?

For Phd Python jobs in Tennessee, the most frequently searched job titles are:

Infographic showing various Phd Python job openings in Tennessee as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 6% Part Time, and 8% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution.

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Chattanooga, TN โ€ข On-site, Remote

$80 - $150/hr

Part-time

Posted 15 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of othersโ€”through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.