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and a MW scale greenhouse hub operated by Division Q. This PhD position is well suited for candidates eager to work at the intersection of nonlinear systems, optimal control, and energy systems
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of Nanoelectronics a full-time position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting as soon as possible
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techniques to investigate mechanisms and outcomes of DNA virus infection. The Department is currently accepting applications for a PhD Student Position (f/m/x) Your tasks: Conduct a research project to
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with improved energetic efficiency (e.g., arXiv:2408.06418); Optimization of thermodynamic protocols: designing thermal machines that exploit collective quantum phenomena to achieve higher energy
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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operation of high-resolution electron microscopy and spectroscopy facilities for studying materials exhibiting emergent quantum phenomena. The successful applicant will have completed a PhD in a field related
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) nanosheets for low-pressure hydrogen storage applications. This position involves close collaboration with academic and industrial partners to design innovative nanomaterials and optimize their performance
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efficient compression performance, each module relies on a rigid, manual design. Furthermore, these modules cannot be jointly optimized end-to-end. In parallel, recent years have seen the resounding success
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of the Universitat Politècnica de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research: R&D line: Data-driven network modeling and optimization https
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publications. Responsibilities include: Development of new experimental approaches and implementation, optimization, and modification of existing laboratory procedures and protocols to address research