Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Amsterdam UMC
- Maastricht University (UM)
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- University of Groningen
- Utrecht University
- Wageningen University & Research
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- DIFFER
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam
- Leiden University Medical Center (LUMC)
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University Medical Center Groningen
- University Medical Center Utrecht (UMC Utrecht)
- 10 more »
- « less
-
Field
-
), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
-
research combines inverse problems, numerical mathematics, optimisation, machine learning and imaging physics, with applications ranging from medical and industrial imaging to geophysics. For more
-
strong affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
-
, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
-
will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
-
intelligence modelling ability (e.g. statistical machine learning, deep learning, generative AI, large language models, etc.) Familiarity with plastics recycling value chain (sorting, density separation
-
to understand how complex biological functions emerge from interactions between individual cells. Where to apply Website https://www.academictransfer.com/en/jobs/362789/phd-learning-interactions-in-co
-
hiring a doctoral candidate on the subject "Foundation AI models for distribution systems decision-making ". Foundation models have recently emerged as a new learning paradigm in AI. These models learn
-
clinical, sequencing data, and circulating biomarkers, the project aims to: Develop and validate advanced machine learning models for the stratification and diagnosis of ANOCA; Provide cell-type–resolved and
-
professionally. Learn more about your project at the Model-Driven Decisions Lab . Job requirements You hold an MSc in computer science, data science, or another relevant subject such as ethics of AI, with