Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, Python, CUDA o Open CL) -Manejo de sistema operativo Linux • Proficiency with mathematical software tools such as MATLAB • Strong programming skills (proven experience with programming languages such as
-
, resource requests, and environment management. Desired Requirements: 1. Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNA+protein integration. 2. GPU experience: PyTorch/CUDA for segmentation/model
-
engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
-
, including benchmarking and validation Publication of results in journals and conferences Where to apply Website https://apply.refline.ch/673278/3832/1m.u7qjgjKjzKmrHRvMb9SUuweUMUm96yz1qOEhI4Z… Requirements
-
cover letter describing research interests, a current curriculum vitae, and contact information for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications Ph.D
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 9 days ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · research and development of methods for acceleration of parallel applications in the High Performance
-
commonly used on Unix systems. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus. Experience in AI programming with, e.g., PyTorch(-DDP
-
simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 8 days ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: development of methods for acceleration of parallel applications in the High Performance Computing (HPC
-
the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible