Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
topic Prior programming experience in Python is a must, C++ and CUDA experience are a plus Familiarity with PyTorch and modern deep learning frameworks Experience in training and evaluating computer
-
Postdoctoral Research Associate, Electrical and Computer Engineering Posting Number req24051 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Main
-
for biological imaging in general. The position is part of the Netherlands BioImaging Infrastructure (http://eurobioimaging.nl ) which is a nation‐wide multi‐sited facility that enables breakthrough in cell/life
-
and/or optimisation; programming in C/C++, CUDA, etc., and software development and integration will also be valued. I.II - The non-degree-granting course must be related to the type of activity covered
-
of California (UC) and your union and finalized in a contract. Read your bargaining unit's employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https
-
, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https://shareing-dri.github.io ) project team, working closely with the PI and other project
-
Graphics, Augmented Reality and/or Image Processing is not mandatory but will be valued; Knowledge of CUDA, Holoscan, and other NVIDIA environments is not mandatory but will be valued; academic excellence
-
researchers to integrate computing techniques into research activities using common HPC programming languages, tools, and techniques including Fortran and/or C/C++, MPI, OpenMP, CUDA An equivalent combination
-
computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF
-
using the shared memory and message passing techniques. Knowledge of OpenMP and MPI or similar programming directives and libraries. Knowledge of GPU programming with CUDA, HIP, oneAPI or OpenMP for GPUs