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publications, conference presentations, and ultimately a PhD thesis. The PhD thesis has to be completed within four years. Being part of a cutting-edge research programme, you will receive research training as
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methodologies, ensuring they effectively support the ongoing energy transition. The successful candidate should have: A master’s degree (or expect to complete it before the appointment date) in physics
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remote sensing surveys, material studies, and geoarchaeological and archaeometric sampling. Examples of current fieldwork by the Regato team are available on this webpage: https://www.knir.it/en
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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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on mixed feeds of CO2, CO, H2, and H2O under industrially relevant conditions. Process boundary conditions for efficient mixed feed FTS to produce synthetic fuels will also be identified. This position is
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embedded in the research programme of FEB’s Research Institute. The project will be supervised by Prof. Robert Lensink (Faculty of Economics and Business), email: b.w.lensink@rug.nl , Prof. Han Olff (Faculty
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PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of the Faculty
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will design, implement, and evaluate, within the framework of Design-Based Research, a professional development programme that supports STEM instructors in using AI effectively and critically in
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skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which