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seeking applicants for a UConn Dispatcher Trainee position. This is a fast paced public safety emergency services dispatch center position that requires heavy computer use and the ability to multi-task
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days ago
of the project It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
the submission of the following documents: i) B1 Form – Fellowship application (http://drh.tecnico.ulisboa.pt/bolseiros/formularios/ ); ii) Curriculum Vitae; iii) academic degree certificate, where applicable; iv
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explanatory notes. Where to apply Website https://www.unimore.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies
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. The aim will be to understand the relationship between the scientific and political objectives of colonialism and to assess how..Omissis.. Where to apply Website https://www.unibo.it/it Requirements
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Assistant in Electrical Engineering Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Electrical and Computer Engineering
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16 Jan 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Engineering » Communication engineering
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Claro and travel to Cavalcante (fieldwork); • Consistent scientific output; • PhD completed within the last 7 years. Interested candidates should complete the Google form (https://forms.gle
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results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in
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results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in