Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring
-
Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
fellows and project-based postdocs (listed below). The successful candidate(s) will be hosted by the Atmospheric Physics of Exoplanets (APEx) Department and take part in the Max Planck Postdoc Program . The
-
of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking
-
terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering
-
16 Sep 2025 Job Information Organisation/Company Consortium Virome@tlas Research Field Computer science Researcher Profile Recognised Researcher (R2) Country France Application Deadline 30 Nov 2025
-
- Conference travel support - 1-year contract, renewable (up to 3 years total) - Cloud compute provided by Nebius Requirements: - PhD in Mathematics or Computer Science - For existing projects: willingness
-
applicant will also bring significant experience with general software engineering, with working experience with Cloud Platforms (Google Cloud Platform, AWS, Azure), alongside a strong understanding of recent
-
Deadline 19 Sep 2026 - 01:28 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
-
. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and