2026. 01. 31. | Részmunkaidõ | MindriftOpen to part-time, non-permanent projects. Ideally, contributors will have - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong
Nézze később2026. 01. 31. | Részmunkaidõ | MindriftThis opportunity involves While each project involves unique tasks, contributors may - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels
Nézze később2026. 01. 31. | Részmunkaidõ | MindriftFields, e.g. Engineering Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc. - 3+ years of professional physics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection Professional certifications (e.g., CPhys
Nézze később2026. 01. 31. | Részmunkaidõ | MindriftThis opportunity involves While each project involves unique tasks, contributors may - Design rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve
Nézze később2026. 01. 29. | Részmunkaidõ | MindriftAnd developer guides. - Explore modern Kotlin frameworks and tools to create practical, real‑world examples for learning and testing. - Continuously refine content based on feedback, emerging patterns, and advances in the Kotlin ecosystem. - Apply professional judgment to assess AI responses. What we look
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