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our research team. The successful candidate will engage in cutting-edge research involving the development and application of advanced computational models for fluid dynamics and light transport
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Requirements - The applicant should possess a Doctoral degree in electromagnetic-related field. - Those who have submitted PhD thesis are welcome to apply. - The applicant must have experience in antenna and
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Department: School of Electronic Engineering & Computer Science Salary: £41,300- £44,722 per annum (Grade 4) Reference: 2360 Location: Mile End Date posted: 29 May 2024 Closing date: 28 June 2024
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Istituto per il Rilevamento Elettromagnetico dell'Ambiente del Consiglio Nazionale delle Ricerche IREA-CNR | Italy | 14 days ago
: • Signal processing; • Processing of data acquired through Synthetic Aperture Radar (SAR) systems; • Electromagnetic scattering models; • Development of computational codes; • Use of High Performance
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2024 Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description JOB POSITION
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Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The CEMHTI is a CNRS research unit (UPR 3079) attached
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Positions in the Department of Electrical & Computer Engineering for the Fall 2024 semester. These positions are open to McGill University students only. Hiring Unit: Electrical & Computer Engineering
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25 May 2024 Job Information Organisation/Company INFN - Istituto Nazionale di Fisica Nucleare Research Field Mathematics Engineering Computer science » Informatics Other Physics Astronomy Chemistry
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the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call n. 26743/2024 - The President
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electromagnetic computations Subject description The focus for this position is to study III-V RF-transistors based on nanowires in scaled geometries and their use for neuromorphic calculations. Modeling