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Field
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PhD candidate, you will explore key biogeochemical drivers of microbial methane removal in coastal systems such as estuaries, bays and fjords. Eutrophication and global warming are increasing
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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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(due to the low radiation dose). One possible way to address this is to incorporate information gained from previous scans (e.g., MRI) of the same patient. As a PhD student on this project, you will
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PhD candidate, you will explore key biogeochemical drivers of microbial methane removal in coastal systems such as estuaries, bays and fjords. Eutrophication and global warming are increasing
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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Sciences. Knowledge of sensory and/or motor systems in the body is preferred. Experience and/or enthusiasm for public outreach. Research experience with human subjects. Training with data analysis on time
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will also compile field methane measurement data from published literature and datasets for analysis and model validation. On this basis, we will quantify the spatiotemporal changes in global inland
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PhD: Storm Surge Barriers and Adaptation Pathways for Deltas Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 12 June
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
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expertise in healthcare, technology, and quantitative analysis. Using data from the TopTreat consortium, you will identify prognostic markers to support personalized treatment, and assess their health