Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Leiden University
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft); Delft
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- University of Twente
- AMOLF
- CWI
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Leiden University; Leiden
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Radboud University; Nijmegen
- University of Twente (UT)
- University of Twente (UT); Enschede
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- Radboud University Medical Center (Radboudumc); Nijmegen
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University Medical Centre Groningen (UMCG)
- University of Groningen; Groningen
- Utrecht University
- 19 more »
- « less
-
Field
-
(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
-
confidentiality of digital technologies and data? This PhD position offers you the opportunity to conduct original, cutting-edge research in the project “Artificial Secrecy? Taking Transparency in EU Digital and
-
(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
-
that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
-
lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
-
range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence,nanoscience
-
on research, with optional contributions to education and supervision of students. Job requirements You have a master's degree in computer science, artificial intelligence, or mathematics. You can demonstrate
-
computer science, artificial intelligence, or mathematics. You can demonstrate an interest in computer security. In addition to a curious mind, you posess excellent programming skills. You have excellent
-
(Computational) Linguistics, Education, Artificial Intelligence or a related field; The skills and knowledge for in-depth automated text analysis and the development and use of text quality metrics; The skills and
-
essential to show willingness to look beyond disciplinary boundaries. The project is funded by the NXTGEN Biomed growth fund project on artificial organs. NXTGEN aims to develop and produce smart and