Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position
-
science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
-
balance, and your own experimental data. You will follow state-of-the-art open science principles throughout your research and publish your model code, results and scientific papers with an open access
-
at the University of Ljubljana. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By
-
at the University of Ljubljana. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By
-
! Education Master’s degree in computer science, data engineering, or related technical field. Experience and skills in Testing and experimentation with AI Technologies. Robust Python coding skills. Good
-
computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
-
., Flask, FastAPI, Node.js). Familiarity with cloud platforms (AWS, GCP, Azure) for prototype deployment. Understanding of cybersecurity principles and secure coding practices. Ability to work in a research
-
code in the public domain and publish scientific papers in reputed journals on the insights gained through the model-assisted hypothesis testing performed in the microC-flux project. Is Your profile