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and clinical partners Contribute to the development and evaluation of analytical methods for processing and modeling EEG data Take the lead in writing scientific publications and presenting
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/or experience with developing AI tools in healthcare. Possess strong programming skills in Python, PyTorch or otherwise. Have a good command of English (spoken and written). Have good communication
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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub
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Village to calibrate and validate models. Investigating control strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners
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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas fields of the Bunter sandstone, an important formation in the North Sea. Specifically
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beneficial symbionts. This is an exciting opportunity to combine controlled experiments with molecular tools to address fundamental questions in ecology with real-world relevance for sustainable ecosystems
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programming language) and a curious mindset. Experience in analyzing spatial data is a plus, and a good command of English (written and spoken) is required. Applicants should be team players, who enjoy
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partner engagement. Proficiency in both qualitative and quantitative research methods, and excellent command of written and spoken English. Nice-to-haves Dutch language skills and prior experience in
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Postdoc in Extracellular Vesicles as Mediators of Gut-Microbiome Interactions in Parkinson's Disease
to ileostomy samples, Parkinson’s disease cohorts, and novel hydrogel/motility models. This approach allows us to reveal microbial processes that are difficult to capture with standard models, connecting patient