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may also (iii) employ the next-generation high spatial- and temporal-resolution sunspot data, provided by a combination of ground- and space-based magnetograms, white light and EUV observations, in
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semester Application deadline Will be announced on webpage: https://www.mgse.econ.uni-muenchen.de/application/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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interdisciplinary major combines course work in science and technology studies with courses in a science. Ph.D. in Philosophy or related field is required. The teaching load is 3/2 (4 preps) in person on Wesleyan’s
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neuromorphic mixed-signal/near-analog circuits for next generation edge-AI systems. You will gain skills in custom chip design, artificial neural networks and edge-AI system implementation. The work combines
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of others. Applicants should submit the following materials to the Talent Center in ONE combined PDF at https://www.join@pitt.edu (Requisition ID: 25006881): In ONE combined PDF, please provide documents in
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submit the following materials to the Talent Center in ONE combined PDF at https://www.join@pitt.edu (Requisition ID:25006889): In ONE combined PDF, please provide documents in this order: (1) Cover
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approach, Timelapse-Patch-Seq (TiPS), combining electrophysiology, 3D imaging and transcriptomics at the level of individual synapses. Main tasks Design and conduct a postdoctoral research project on long
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fundamental question with global relevance: how does glycan structure control carbon sequestration in marine systems? By combining organic synthesis and chemical biology, the project aims to uncover
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to the success of a growing multicenter comparative-effectiveness research network known as the PRECEDENT Network (https://www.precedentnetwork.com/). The candidate will have the opportunity to collaborate and
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling