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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 11 hours ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
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patterns of bacterial evolution under competition for resources. The project requires ability to program and to analyze the results of simulated data to unravel the patterns of genetic and phenotypic
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due to start in April 2026 . WORK PLAN: The candidate must complete a PhD in accordance with the following plan: Computational simulation of additive manufacturing of polymers Digital twin of additive
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of October 1, and the University of Algarve Research Grant Regulations (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). 5. Workplace: The work will be carried out at CENSE, Faculdade de Ciências e
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: Complete applications must be submitted online at https://ccmar.ualg.pt/en/career-opportunities and must include: 1. A motivation letter (in English); 2. A detailed Curriculum Vitae (in English); 3
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.Application process and mandatory documents: Complete applications must be submitted online at https://ccmar.ualg.pt/en/career-opportunities and must include: 1. A motivation letter (in English); 2. A
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Regulations: Research Fellow Statute, approved by Law No. 40/2004 of August 18, as amended by Decree-Law No. 65/2024 of October 1, and the University of Algarve Research Grant Regulations (https://files.dre.pt
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2026 (Lisbon time). 11.2 Applications must be submitted through the online application system available on the APPLY website: https://www.apply.up.pt  ; (Ref. BOLS-FADEUP-26-2). 11.3
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the multiparticle production properties of the first shower interaction. This will be pursued through the analysis of air-shower ground arrays simulations based on water Cherenkov detectors, such as SWGO and the
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No. 40/2004 of August 18, as amended by Decree-Law No. 65/2024 of October 1, and the University of Algarve Research Grant Regulations (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). 5