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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
charge will have to optimize the metasurfaces with respect to the application: a) in the choice of materials and structure, so that it is possible to manufacture them in a factory among those available
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and Jülich. Initially, the work will primarily take place in Aachen Scientific Exchange: The opportunity to attend national and international conferences Work-life balance: Optimal conditions for
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-fast modulators. At the device level, this means optimizing the device modulation speed up to several GHz integrating RF technology to the devices. 1. P.-B. Vigneron, S. Pirotta, I. Carusotto, N.-L
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. ● Train users in basic and advanced light microscopy, with the objective of developing independent, critical and responsible microscope users. Training will include one-to-one sessions as well as structured
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Information The Department of Civil, Construction and Environmental Engineering (CCEE: https://cce.eng.ua.edu/) and the Lee J. Styslinger Jr. College of Engineering (SCoE: https://eng.ua.edu/) at The University
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: Research and Data Management and Analysis Methodology Development, Optimization, & Validation: Lead the development, optimization, and validation of research protocols for assigned research projects
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middleware. Understanding of data structures and formats (JSON, XML, flat files) and data handling practices. Knowledge of system design concepts (scalability, modularity, performance optimization). Knowledge
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will support planning and execution of the Arizona Law's structured recruiting programs and optimize core technologies and systems to support the CDO advising team. The James E. Rogers College of Law
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
. An optimization effort will be conducted at the module level, with a strong emphasis on structure–actuator coupling, in order to improve energy efficiency (high energy density, low consumption
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these approaches with methods for learning explicit, interpretable mechanistic ODEs, including their symbolic structure [3]. Lastly, recent work from the team includes nonparametric mixed-effect ODE models