24 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions in Cyprus
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
enhance the competencies of the Institute in one or more of the following research areas: foundation models and efficient training/adaptation methods on HPC systems, generative AI and multimodal learning
-
to one or more of the following areas: Renewable energy systems and photovoltaic technologies Smart grids and power systems Battery energy storage systems Artificial intelligence and machine learning
-
committed to promoting and maintaining a working, teaching, and learning environment, free from any form of discrimination, whether direct or indirect. Website for additional job details https
-
engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 17 Apr 2026 - 12:00 (Europe/London) Country Cyprus Type of
-
16 Mar 2026 Job Information Organisation/Company Lumoscribe Department Photonics Research Center (PRC) Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1
-
): https://extranet.cing.ac.cy/images/media/redirectfile/PhD%20Topics%20BOOKLET%202026-2027.pdf . Where to apply Website https://extranet.cing.ac.cy/applynow Requirements Research FieldMedical sciences
-
innovation and engineering execution. The ideal candidate will bring extensive experience in machine learning system design, product-oriented AI development, and hands-on project engineering management
-
projects, including the flagship EXCELSIOR H2020 Teaming Project (https://excelsior2020.eu/ ), as well as DIGIFARM, NOSTRADAMUS, CERBERUS, and CARBONICA. ERATOSTHENES Centre of Excellence is an autonomous
-
research and innovation agenda by: Conduct applied or fundamental research and publish the results in high-quality conferences and journals; Developing Computational Intelligence (e.g., Machine Learning and
-
the Research Promotion Foundation, RIF, (EXCELLENCE/0524/0337), Title: “Machine Learning for Intelligent Insect Monitoring” and proposes an automated early warning system that will be able to detect and classify