Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
dynamics (algorithms and current practice). Experience in AI/ML. Experience in application performance optimization. Familiarity with parallel programming models (e.g., OpenMP, MPI, CUDA). Experience
-
current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
-
-based simulation and empirical analysis projects, develop and run virtual experiments, analyze existing social media data, document results, write papers with Dr. Carley and possibly relevant PhD students
-
. utilities, libraries, plugins) Experience with parallel file systems (e.g. Lustre, GPFS) Experience in high performance computing (HPC) environment. Experience with configuration management software such as
-
software development best practices. Requirements, Knowledge, Skills and Abilities: BS with 10 years’ experience, MS with 8 years’ experience or PhD with 5 years’ experience in Computer Science, Electrical
-
(visit days, orientation, grad student appreciation events, PhD Retreat, etc). Attend the SCS Commencement planning/coordination events and day‐of activities. Responsible for PhD student logistics
-
Supervising and mentoring junior PhD students and post-doctoral fellows working on the project Perform other duties as assigned Flexibility, excellence, and passion are vital qualities within the School
-
support the mission of the university through their work. Qualifications: PhD degree in Mechanical Engineering, Biomedical Engineering or a related field 1-3 years of experience Research and hands
-
with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR a PhD in the same fields with five (5) years of experience. You have previous work experience with
-
interdisciplinary professional partners. • Other duties as assigned. Requirements: • PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning