PhD Position: Bigdata4change – Improving PTSD Treatment Amsterdam UMC in Netherlands

Wageningen University & Research is seeking a postdoctoral researcher for a one-year project on AI-driven allergen early warning systems for novel foods . Based in the Information Technology Group within the Social Science Department in Wageningen, Netherlands, the role combines computer science, artificial intelligence, data science, food safety, and risk prediction. The successful candidate will develop and implement machine learning models, large language models, natural language processing m...

Amsterdam UMC is recruiting a Postdoc Researcher AI/Machine Learning for Multimodal Cardiovascular Data for the Horizon Europe project VASCUL-AID . The project is a €6.3 million, Europe-wide consortium coordinated by Amsterdam UMC and involving 16 partner organizations. Its aim is to build a trustworthy AI platform that can predict cardiovascular risk and disease progression in patients with abdominal aortic aneurysm (AAA) and peripheral artery disease (PAD) . The research is highly interdiscipl...

Vrije Universiteit Amsterdam is seeking multiple bachelor thesis supervisors in Psychology for the Department of Clinical, Neuro- & Developmental Psychology within the Faculty of Behavioural and Movement Sciences. The supervisors will guide small groups of bachelor students through their thesis projects. The work includes helping students develop research questions, select appropriate study designs and prepare research proposals, as well as supporting data analysis and interpretation of results....

Postdoc opportunity at Utrecht University in the Netherlands in machine learning, numerical modelling, wind flow prediction, coastal dunes, computational fluid dynamics (CFD), and aeolian sand transport . The Faculty of Geosciences, Department of Physical Geography at Utrecht University is recruiting a 2-year postdoctoral researcher to improve coastal dune models using machine learning and numerical modelling . The project focuses on building a surrogate wind field model that can provide fast an...

This postdoctoral project focuses on developing new methods for offshore near-real-time seismic monitoring by combining in-well distributed acoustic sensing (DAS) with offshore seismological station data. The work addresses the challenge of observing seismic activity in offshore settings, where access is limited and instrumentation is sparse, by transforming existing fiber-optic cables into dense sensing arrays that can complement newly developed offshore stations. You will work on integrating c...