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, article 4 of the University of Minho's Scientific Research Grant Regulations. The work plan will consist of: - Development and optimization of antibacterial thin films by magnetron sputtering, including
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 15 days ago
applications, · test and optimize the developed software, · work in the team under national and international projects, · collaborate on publication activities of research outcomes. Full time equivalent: 1,0
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Associate will be asked to: lead and conduct cost-effectiveness (CEA) and distributional or extended CEA (DCEA or ECEA) modelling, with a view to informing the optimal design of health insurance benefit
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 28 days ago
was installed at IT4Innovations in 2025. For more details, see www.it4i.eu . Activity description: · modelling and optimization of electrical networks using open source tools (preferably Julia or Python
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view to their optimization. By taking advantage of the combination of different materials, the aim is to obtain films with electrical properties optimized for health monitoring. The BIPD are restricted
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systems; working with internal and external IT partners to maintain system resilience and ensure systems are operating optimally. Demonstrable experience in leading a team and staff management, with
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limits the ability to optimize energy storage use for critical applications like emergency response, grid balancing, and off-grid power supply. The aim of this project is to develop a platform that will
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appropriate training/workshops for the research systems. Engage with key stakeholders in order to ensure functionality remains optimal and ensure the research systems appropriately facilitate compliance with
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the attribution of one Research Scholarship within the scope of the research project TRANSFACTORY Transporter proteins for the optimization of microbial cell factories, reference COMPETE2030-FEDER-00750700-16345
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You