87 parallel-computing-numerical-methods positions at University of Groningen in Netherlands
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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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to constructively engage with researchers and other stakeholders outside of their discipline. be proficient in the English language (oral and written). In addition, prior experience with any of the following methods
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undergraduate students. We focus on high quality teaching and research in the fields of human and economic geography, demography, and spatial planning. Our research program is titled TRACE (TRAnsformations
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Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
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methods in psychopathology. The positions are located in the Department of Theoretical Philosophy ( https://www.rug.nl/filosofie/organization/departments/theoretical/ ) but there are strong ties with
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Participate in academic training, including methods courses, seminars, and skills-development workshops offered by the Graduate School of the Humanities and other university bodies Complete the PhD project in
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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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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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more