Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Istituto Italiano di Tecnologia
- AI4I
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
- EURAC
- Fondazione Bruno Kessler
- LINKS Foundation - Leading Innovation & Knowledge for Society
- OGS
- Politecnico di Milano
- Tor Vergata University of Rome
- Università degli Studi di Trento
-
Field
-
the project’s HPC software stack and benchmarking suite to enable large simulation campaigns. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
-
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | about 1 month ago
Description •Analysis of existing HPC workload-management simulators to identify opportunities to improve usability and extensibility. •Investigation of architectures that enable clean separation between
-
numerical modeling techniques. To this end, large amounts of data will be analyzed also through the use of HPC infrastructures and 'Cloud' resources. In addition, the effects of the variation of the speed
-
. Where to apply Website https://lavoraconnoi.unitn.it/incarichi-di-ricerca/dipartimento-di-ingegneria-e… Requirements Additional Information Eligibility criteria Eligible destination country/ies
-
domain focuses applied research activities on HPC convergence, Big Data, and the orchestration of supercomputing resources. Frontier research focuses on Quantum Computing, Quantum Communication, bionics
-
junior developers and researchers Stay current with the latest developments in Deep Learning frameworks for weather forecasting and climate science. Where to apply Website https://jobs.fbk.eu/Annunci
-
, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
-
SE + robotics / CPS. Experience with safety, explainability, or dependability of AI systems. Familiarity with HPC or large-scale experimentation pipelines. What We Offer A pioneering research team: You
-
sensing. Familiarity with High-Performance Computing (HPC) and/or Cloud computing (openEO) Why Join Us? Work on high-stakes climate research projects with global impact. Access to state-of-the-art EO data
-
benefits from the collaboration with several universities and research centres worldwide, most often with the closer universities of Genova and Verona. AIGO is part of ELLIS (https://ellis.eu