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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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-KNAW). You will: Identify candidate genes and alleles targeted by selection on egg development time, using genomic sequencing data of wild winter moths collected over the past 20 years, and of artificial
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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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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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that it will target any DNA sequence. Not only does this make it possible to specifically target the DNA of a bacterial virus, but the method has also been found to be suitable for gene-editing in plants
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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