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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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variability. In this PhD project, you will develop and apply cutting-edge analytical chemistry techniques to tackle this challenge. Using both targeted and non-targeted liquid chromatography–mass spectrometry
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neuronal and synaptic functioning, identify treatment targets, and screen treatments. About the organisation The Faculty of Science & Technology (Technische Natuurwetenschappen, TNW) engages some 700 staff
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deadline: 20 July 2025 Apply now Are you interested in developing weather-resilient energy systems that are robust against climate impacts, energy droughts, and aligned with climate mitigation targets? Do
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targeted at early detecting hereditary cancer? And are interested to pursue this through engagement with many different stakeholders, specifically in the field of Lynch Syndrome? Your job This project is
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mechanisms. This new project specifically targets the role of microplastics in the development of lung cancer and is conducted in close collaboration with the lab of Dr Stefan Prekovic (UMC Utrecht
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Climate Act established a target of = 49% reduction in CO2 emissions by 2030 and 95% by 2050 (compared to 1990 emission levels). Realizing this transition will require continued expansion of energy from
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automated experimental workflows with predictive modeling to transform food product development from trial-and-error to targeted innovation. You will work at the intersection of food science, high-throughput