87 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Dublin City University" positions at Universidade de Coimbra
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, Biochemistry, or similar, enrolled in a master’s degree, in a scientific area relevant for the development of the activities included in the project. OR Master’s degree holders, in the scientific area of Biology
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and propose a work development plan. T4: Discuss the expected results and the strategy for disseminating and exploring these results. V - Initial grant duration: 6 months V.I - Renewal Possibility
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project reference 2024.13086.PEX. The use of the FCT logo available at http://www.fct.pt/logotipos/ is expressly mandatory, following the graphic standards available on the website. The dissemination
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on the score of their academic qualifications. VII.VIII -All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX -Jury Composition
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– Engineering and Technological Function and Pilot Platform and Laboratory Testing. Work Plan: Support in research and development activities within the scope of the Engineering and Technological Function and
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in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Paula Alexandra Gomes da Silva Effective Members: Jorge Carlos dos Santos Cardoso; Pedro Filipe Martins
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Development Fund (FEDER), through the Centro Regional Program 2021-2027 (Centro 2030), by Portugal 2030 and by the European Union | Notice Code: Centro2030-2024-59 | Operation code: CENTRO2030-FEDER-02359500
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on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
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biomodels of the human nasal cavity and advanced neuroimaging techniques to optimize and validate the therapeutic efficacy of innovative treatments for depression. It will include the development and
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the company ONCONTROL, in cooperation with the UC. The fellowship will be involved in the execution of the following main objectives: - Optimization of the process digital twin - Development of a predictive