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Field
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electromagnetismo. -Desarrollo de métodos numéricos para el diseño eficiente de dispositivos en electromagnetismo. -------------------- Development of the following project tasks: -Implementation in C++ of numerical
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integrated photonics platforms. The successful candidate will contribute to both technical innovation and Pilot Line development in collaboration with academic and industrial stakeholders. Key Responsibilities
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measures. Together with the H&S Section-Head the Technician will contribute to develop a safe workplace according to legal standards, also implementing and fostering a culture of attention to health and
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sustainability. Collaboration in the creation, development, and consolidation of multi-stakeholder networks, both nationally and at the European level. Where to apply Website https://investigacion.ugr.es/recursos
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Mission: Perform optical characterization of intraocular lenses. Functions to be developed: Perform laboratory measurements for the optical characterization of intraocular lenses of various designs and
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Unit consultations Prepare/Organise clinical trials and the follow-up of patients with neuromuscular diseases 2 days a week for research in neuromuscular disorders Where to apply Website https
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of Numerical Methods in Engineering (GMNI) is developing a line of research related to the application of computational mechanics techniques and numerical simulations for the topology optimization of structures
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related to the project/agreement stated. JOB LOCATION AND SCHEDULE: ETSICCP, Monday-Friday 15.00-19.00 (20 h/week) TASKS The present position of research support technician is opened to develop
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Mission: Manage the project, especially in innovation, sustainability and economic development environments, to coordinate and monitor its strategic, administrative and economic aspects. Functions to be
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Objective -To perform support functions in the field of Optical Engineering and lidar systems. Responsibilities -Develop laboratory setups. -Design experiments and validate theoretical models. -Process data