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Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa | Spain | about 22 hours ago
, write papers, and deliver a PhD thesis. Applications Applications, as one single PDF, should be submitted electronically to Prof. Juan Luis Delgado (juanluis.delgado@polymat.eu ) and Prof Iván Mora-Seró
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Panel: Chair: Prof. Doutor Filipe Natalio; Effective members: Prof. Doutor Nuno Lapa e Prof. Doutora Ana Cecilia Roque Substitute Members: Prof. Doutor Ricardo Franco e Prof. Doutora Angelina Palma. 10
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Code70125StreetCampus Universitario Geofield Contact City Bari Website https://reclutamento.ict.uniba.it/chiamata-prof/chiamata-associati/2657-25 Street Campus Universitario Postal Code 70125 E-Mail reclutamento.docenti
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. Selection Committee: President: Prof. João Carlos Antunes Leitão Member: Prof. Kevin Gallagher Member: Prof. Nuno Manuel Ribeiro Preguiça Alternate Members: Prof. Carla Ferreira, Prof. João Leite 9
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to the project, and other relevant academic or research activities (75%) Motivation letter (25%) Selection Committee Chair: Prof. João Carlos Antunes Leitão Member: Prof. Kevin Gallagher Member: Prof. Nuno Manuel
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) supported by the São Paulo Research Foundation (FAPESP) and hosted by the State University of Campinas's Gleb Wataghin Institute of Physics (IFGW-UNICAMP) in Brazil. CRISQuaM is coordinated by Prof. Daniel
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education institutions). 7. Workplace: The work will be carried out mainly at CICECO/DEMaC, CICECO/DFIS, and occasionally at CESAM/DBio, University of Aveiro, under the scientific supervision of Prof. João
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240/2010, for the appointment of three full-time professors (competition code 2025-PO-2616) Where to apply Website https://reclutamento.ict.uniba.it/chiamata-prof/chiamata-ordinari/2616-25 Requirements
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professor, pursuant to art. 18, paragraph 1 of Law n. 240 of December 30th, 2010. Selection code 2025-PO-2617 Where to apply Website https://reclutamento.ict.uniba.it/chiamata-prof/chiamata-ordinari/2617-25
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because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep