Mindrift
Physics Expert with Python - Freelance AI Trainer(m/w/x)
Part-timeFreelanceOn-siteExperienced
Stuttgart
from USD 45 / hour
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MIMindrift
Research Physicist with Python Experience - Freelance AI Trainer(m/w/x)
Stuttgart
from USD 45 / hour
Part-timeFreelanceOn-siteExperienced
AI/ML
Nejo AI Summary
Designing computationally intensive physics problems in mechanics, thermodynamics, and quantum mechanics using Python, NumPy, and SciPy. Physics degree and Python proficiency required. Freelance AI training for tech companies.
Requirements
- English CV submission with proficiency level
- Degree in Physics or related fields
- Python proficiency or equivalent programming language knowledge
- Experience with numerical simulation methods
- Ability to design real physics research workflow problems
- Creative thinking in diverse physics problem design
- Familiarity with physics modeling and approximation techniques
- Strong written English (C1+)
Tasks
- Design computational physics problems
- Create Python-based problems using Numpy, SciPy, Sympy
- Ensure problems are computationally intensive
- Develop problems with non-trivial reasoning chains
- Focus on mechanics, electromagnetism, thermodynamics, quantum mechanics
- Base problems on real research challenges
- Verify solutions with Python and physics libraries
- Document problem statements clearly
- Provide verified correct answers
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MATLAB
- R
- C
- SQL
- Numpy
- Pandas
- SciPy
- Stata
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Mindrift and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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MIMindrift
Research Physicist with Python Experience - Freelance AI Trainer(m/w/x)
Stuttgart
from USD 45 / hour
Part-timeFreelanceOn-siteExperienced
AI/ML
Nejo AI Summary
Designing computationally intensive physics problems in mechanics, thermodynamics, and quantum mechanics using Python, NumPy, and SciPy. Physics degree and Python proficiency required. Freelance AI training for tech companies.
Requirements
- English CV submission with proficiency level
- Degree in Physics or related fields
- Python proficiency or equivalent programming language knowledge
- Experience with numerical simulation methods
- Ability to design real physics research workflow problems
- Creative thinking in diverse physics problem design
- Familiarity with physics modeling and approximation techniques
- Strong written English (C1+)
Tasks
- Design computational physics problems
- Create Python-based problems using Numpy, SciPy, Sympy
- Ensure problems are computationally intensive
- Develop problems with non-trivial reasoning chains
- Focus on mechanics, electromagnetism, thermodynamics, quantum mechanics
- Base problems on real research challenges
- Verify solutions with Python and physics libraries
- Document problem statements clearly
- Provide verified correct answers
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MATLAB
- R
- C
- SQL
- Numpy
- Pandas
- SciPy
- Stata
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Mindrift and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Mindrift
Industry
IT
Description
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
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