Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
-
focus often neglects other dimensions of processes, such as the time between activities and the time required for specific steps, the spatial distribution of tasks across locations, or the intricate
-
Genetics; the PhD program commenced in in the Fall 2022 academic year and recruits up to seven students per year to the program. For more information, please visit https://www.utrgv.edu/cos/schools-and
-
willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
-
signal processing and/or survey datasets. ML & AI techniques and applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering
-
management, program details, communication needs and other details to make events successful. Job Description Primary Duties & Responsibilities: Oversees, manages, and provides assistance as needed for special
-
including heterogeneous accelerator devices such as GPUs, DSPs or FPGAs, requiring software to cope with concurrent and parallel synchronous and asynchronous computation. The emergence of connected autonomous
-
development teams to fulfil business requirements. You will: Take technical ownership across all stages of software development within the Tuihono UC distributed ecosystem. Design, develop, and maintain
-
Deadline 7 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
-
State University of New York University at Albany | Albany, New York | United States | about 11 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity