Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- Graz University of Technology
- Luxembourg Institute of Science and Technology
- Newcastle University
- Carnegie Mellon University
- Grenoble INP - Institute of Engineering
- Wrocław University of Science and Technology
- Foundation for Research and Technology-Hellas
- Technical University of Munich
- Łukasiewicz Research Network - Krakow Institute of Technology
- Brno University of Technology, Central European Institute of Technology
- California Institute of Technology
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Max-Born-Institute
- Missouri University of Science and Technology
- Monash University
- Newcastle University;
- Silesian University of Technology
- Singapore University of Technology & Design
- TUD Dresden University of Technology
- Technical University of Munich (TUM)
- Tilburg University
- University of Basel
- University of Luxembourg
- University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
- Università degli Studi di Pavia
- Wageningen University & Research
- Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT
- 22 more »
- « less
-
Field
-
doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information Quantum computers have grown remarkably fast
-
computing? Then join QuBriC, a pan-European doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information
-
Ever wondered what keeps your data flawless, and secret, as it travels through an optical fibre, even against the quantum computers on the horizon? The answer is error-correcting codes: clever maths
-
for the ‘Course Title’ using the programme code: 8050F Research Area: Computing Science Select ‘PhD Computer Science (full time) - Computing Science' as the programme of study You will then need to provide
-
and implementation of Retrieval-Augmented Generation (RAG) pipelines using automotive standards, technical documentation, software models, and source-code repositories Development of AI-supported
-
supporting materials e.g. link to MS Thesis (draft), publications, project descriptions, code repositories If the applicants are selected for an interview, they will be asked to provide contact details
-
mass spectrometry-based proteomics quantifying approximately 11,000 proteins per project, as well as metabolomics, small non-coding RNAs, and blood-based Alzheimer biomarkers. The PhD candidate will take
-
the controller is subject) in connection with Article 22 1 of the Labour Code and the Act of 20 July 2018 – Law on Higher Education and Science, as well as Article 6(1)(a) and Article 9(2)(a) of the GDPR (consent
-
or Mathematics. Strong mathematical background. Coding experience. Excellent communication skills in English, both orally and written. You must have a strong academic background from your previous studies and have
-
population genetics and marine metapopulation dynamics. Contribute to generating and managing reproducible computer code and workflows. Produce a high-quality PhD thesis, comprising of manuscripts suitable