You will combine scientific rigor with a pragmatic engineering mindset to bridge research, implementation, and measurable impact. * PhD in Computer Science, Machine Learning/AI, Data Science, Software Engineering, or a closely related field. * Demonstrated experience producing high-quality technical writing (e.g., grant proposals, project descriptions, scientific reports). * Solid engineering skills across ML and software systems, including Python, modern ML tooling, and backend/cloud architectures. * Strong ability to connect scientific contributions with practical application, evaluation, and stakeholder needs.
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