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will be trained in a variety of powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models
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laboratories, among which are UU’s Geolab , and the Earth Simulation Lab . We also have excellent High-Performance Computing facilities. At EMBRACER we work at the very frontiers of knowledge on climate change
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. As part of this PhD, the candidate will: Conduct an integrative review of established competency models Create assessment tools (which may include use of AI tools) to measure CLMA proficiency
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. The second sub-project, a postdoc track, focusses on pedagogies or structures for guiding students in selecting competencies to be achieved as learning outcomes, through learning activities and assessment
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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assessments such as the General Movement Assessment (GMA) and the Hammersmith Infant Neurological Examination (HINE). However, current predictive models lack integration of these modalities and precision in
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challenge. To build confidence in the reproducibility during scale up and integration in a sixth generation of mobile networks, 6G, dependable models are needed to improve power consumption (J/bit, watt/m2
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. - Experience in metabolism, inflammation, immunology, or cardiovascular disease research is an asset. Hands-on experience with mouse models, flow cytometry, histology, cell biology, or molecular biology
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research within the Lifelines cohort, a large population-based study from the North of the Netherlands, as well as detailed mechanistic studies in cells and animal models, this project offers a strong
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socio-ecological system. The project, consisting of a Principal Investigator and two Postdoc researchers studying grassroots adaptation strategies, is now seeking 4 PhD candidates to join the team. Each