Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- University of A Coruña
- University of Innsbruck, Institute of Computer Science
- CIC nanoGUNE
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Columbia University
- FCiências.ID
- Fondazione Bruno Kessler
- Heidelberg University
- Institute for Basic Science
- Institute of Nuclear Physics Polish Academy of Sciences
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universidad de Alicante
- Universidade de Coimbra
- University of Jyväskylä
- University of Luxembourg
- University of New Hampshire
- University of Texas at El Paso
- Universität Siegen
- Uppsala universitet
- 10 more »
- « less
-
Field
-
electrochemical phenomena. · Propose non-invasive diagnostic methods based on this digital twin. · Develop algorithms to speed up or standardize the determination of the parameters of this digital
-
(CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data
-
the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
-
Offer Description The successful candidate will be expected to work primarily on aspects related to precision predictions for the LHC and parton-shower simulations. The project encompasses the development
-
and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
-
inform our understanding of mental disorders through the study of variation in their neural realization. We aim to translate our computational findings to develop improved diagnoses and personalized
-
, integrated circuit designers, and quantum algorithm developers Analyze and interpret experimental data, contributing to scientific publications, patents, and presentations. Engage with the wider international
-
distribution (partitioning) to achieve the highest efficiency while considering the merits and constraints. The successful candidate will develop software tools for distributed quantum algorithms, circuits, and
-
aims with regard to education and industrial development. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5505-GERBON-002/Candidater.aspx Requirements Research FieldComputer
-
); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors. Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype