275 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Fellowship positions in Portugal
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to an understanding of the lived spatial experience of decolonization in rural Angola, Mozambique, and Guinea-Bissau in theperiod between the military coup of April 25 in Portugal and the political independence
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of an international, inclusive and stimulating environment. Website for additional job details https://gimm.pt/jobs/research-fellowship-33/ Work Location(s) Number of offers available1Company/InstituteGulbenkian
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machine learning, particularly convolutional neural networks (CNN) and siamese networks; English language proficiency. Requirement for granting the fellowship: The applicants may apply without prior
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at: bolseiros – sgrh – Universidade de Aveiro (ua.pt). ¹ Note: Confirm the type of financial support of the Project at [https://financeiros.ua.pt ](https://financeiros.ua.pt ) in the funding acceptance term
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9 and by Decree-Law nr. 123/2019, of August 28, available at: https://www.fct.pt/apoios/bolsas/estatutobolseiro.phtml.pt . Regulation of scientific research grants of the Foundation for Science and
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Grant Regulations. Where to apply Website https://apply.uc.pt/IT137-25-569 Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering
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-throughput sequencing data; c) Knowledge of the Linux operating system and of computer programming languages, including Python. Workplan and objectives to be achieved: a) Management, archiving, and analysis
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of a contract between the University of Minho and the scholarship recipient, in accordance with point 2.4 of the Rules for the Award and Management of Scholarships https://www.fct.pt/wpcontent/uploads
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the signing of a contract between the University of Minho and the scholarship recipient, in accordance with point 2.4 of the Rules for the Award and Management of Scholarships https://www.fct.pt/wpcontent
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(Lisbon time, Portugal). 9. Application process and mandatory documents: Only complete applications submitted directly and obligatorily on the CCMAR website, https://ccmar.ualg.pt/en/career-opportunities