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at the development of new hydrometallurgical processes for the leaching of the black mass from lithium-ion batteries and the separation of critical metals using alternative solvents, within the scope of the REVITALISE
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this information, under penalty of the work in question being unrestrictedly accessed by any of the other candidates, when consulting the process. 2.5 — Non-compliance with the deadline for submission
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the appendice to Law 35/2014 of 20 June (“LTFP”), in its current wording, Regulatory Decree n.º 11-A/2017 of 29th December and the Code of Administrative Procedure (“CPA”). Pursuant to article 16 of Decree-Law 57
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. Selection process Selection Methods: Curriculum assessment (a) – 40% Proven experience in the specific subcriteria (b1–b5) – 30% Motivation letter for joining the project – 30% Additional comments Draft_
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Fellowships Training in joining dissimilar materials using the Friction Stir Welding process and experience in numerical simulations using Finite Elements; to hold a PhD degree obtained in the 3 years
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unrestrictedly accessed by any of the other candidates, when consulting the process. 2.5 — Non-compliance with the deadline for submission of the application, as well as failure to submit or late submission
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the process. 2.5 — Non-compliance with the deadline for submission of the application, as well as failure to submit or late submission of the documents, referred to in points 2.1 and 2.2, will lead to the
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
-doctoral fellowship from IST-ID. Selection process Selection methods: The selection methods will be the following: a) Academic training: b) Publications in Building Information Model - 4 points, Publications
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candidates, when consulting the process. 2.5 — Non-compliance with the deadline for submission of the application, as well as failure to submit or late submission of the documents, referred to in points 2.1
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characteristics and the occurrence or severity of accidents, through mathematical modelling. • Knowledge of image processing, in particular its application in advanced driver assistance systems (ADAS) and its