67 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Universidade de Coimbra
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achieved: The work plan for the student will be structured around three main objectives: evaluating the biological interactions between phytochemicals and skin, developing and characterizing cosmetic
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of Article 4 of Decree-Law No. 74/2006, in its current wording, provided that, under subparagraph e) of Article 3 of RBI-FCT, they are developed in association or cooperation between the higher education
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- Development of a novel therapeutic strategy for targeting intracellular antigens in triple-negative breast cancer using self-immolative hyaluronic acid-antibody conjugates”. The call is governed by this Notice
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funded by Fundação para a Ciência e a Tecnologia (FCT), I.P., through national funds and the European Regional Development Fund (ERDF) through the Thematic Programme for Innovation and Digital Transition
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mixed reality (MR) strategies to blend information derived from machine learning and computer vision processes to the workers' expertise. The objective of this project is to develop and evaluate MR
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Regional Development Fund (ERDF) through the Thematic Programme Innovation and Digital Transition (COMPETE 2030), Portugal 2030, and the European Union | Operation no. 15895, operation code in the Funds
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-augmented Secure Software Development. The call is governed by this Notice of Opening, the University of Coimbra Research Grant Regulations (RBI-UC), subsidiarily by the Research Grant Regulations
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-FCT, they are developed in association or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates: Candidates enrolled in non-degree-granting
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, they are developed in association or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates: Candidates enrolled in non-degree-granting courses who have already
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- Work Plan / Goals to be achieved: The post holder will join the DETECT project, which aims to develop an artificial intelligence-based tool to identify individuals at clinical high risk for psychosis