COMPutationally empowered Electromagnetic industrial TalEnts
Sector: Education • Location: Italy, France
Source: EU Funding & Tenders Portal
The aim of COMPETE (COMPutationally empowered Electromagnetic industrial TalEnts) is to bridge the gap between the mindset and needs of advanced electromagnetics industry and the academic doctoral programs forming electromagnetic modelers designers and innovators. Standard doctoral programs in computational electromagnetics provide solid theoretical and algorithmic background, but are often abstra
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The aim of COMPETE (COMPutationally empowered Electromagnetic industrial TalEnts) is to bridge the gap between the mindset and needs of advanced electromagnetics industry and the academic doctoral programs forming electromagnetic modelers designers and innovators. Standard doctoral programs in computational electromagnetics provide solid theoretical and algorithmic background, but are often abstract and far from the on-the field industrial needs. Several key elements of the industrial processes related to sensitivity of key devices, associated costs, relaiability and benchmarking of results are often discovered much later by the PhD student, and often European doctoral curricula in this field results less competitive than those of PhD awarded candidates from other systems like the North American one. This training, will instead provide since the very beginning a very pragmatic prospective on the current industrial needs in modelling and will form and educate a cohort of young scientists and innovators in the field of industrial computational electromagnetics. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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