Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
PyTorch, including model training, fine-tuning, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi
-
initiatives. Team leadership and development: Lead, mentor and develop a high-performance team of IT professionals. Foster a culture of innovation, excellence and ongoing improvement. Business engagement
-
-level object-oriented programming and scripting languages, such as Python, C++, Java Experience with high-performance computing environments. Understanding and experience with Python frameworks, such
-
, examinations, and evaluation of student performance in the course. Qualifications: M.S. or Ph.D. in relevant engineering discipline is required; some professional and/or teaching experience preferred. Must have
-
: Studying software engineering, programming languages, and formal methods for the robustness, performance, correctness, and security of code generated by AI or interacting with AI. Areas of interest include
-
techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and
-
thermal signals with high sensitivity and nanoscale spatial resolution, opening access to biophysical structure and dynamics that are difficult or impossible to reach with conventional techniques. The
-
About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST group
-
multiple, overlapping platform initiatives across ITSM, CSM, HAM/SAM, SPM and IRM. Team leadership and development: Lead, mentor and develop a high-performance team of IT professionals supporting the
-
with modern ML/AI development workflows. Exposure to C++ and/or Java for performance‑critical components is a plus Experience contributing to the design, implementation, testing, or evaluation of ML/AI