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Brasilien Tel.: +55 (21)/2553-3296 Fax.: +55 (21)/2553-9261 E-Mail.: auxilio@daad.org.br WWW.: http://www.daad.org.br More detailed information http://www.daad.org.br/auxilio Submitting an application General
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be enrolled in a master's degree course in the area of Computer Engineering, or a related area; b) The candidate must have knowledge of web development and language processing techniques. c
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supports excellence in multidisciplinary marine research, education, and policy development. THE DEPARTMENT The COS department is one of the four research departments of NIOZ. COS integrates state-of-the art
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: Statute of the Scientific Research Fellow: https://dre.pt/web/guest/legislacao-consolidada/-/lc/58216179/view?w=2019-08-28 ; Regulation of Research Scholarships of the Science and Technology Foundation, I.P
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
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your teaching skills and for personal development. For more information about our PhD program, please visit our information page. We offer fully financed positions to our doctoral students who receive
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, mandatorily, through the web page of Infociências of this opening ((https://info.fc.up.pt/fcup/pedidos/users/novo.php?f_id=1291&formulario=… )accompanied by the following documents: a) Motivation letter; b
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Website http://WWW.2C2T.UMINHO.PT Street CAMPUS DE AZURÉM Postal Code 4800-058 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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B-0123-25 – Research Initiation Grant (BII) – 19/12/2025 – O-0002-LX-19 and O-0003-LX-15 – Own funds
Telecomunicações, in the scope of the Projects O-0002-LX-19 and O-0003-LX-15. These projects are funded by own funds. The topic of the work will be “Development of Modular Applications for an Automated NOC
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will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality