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- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- Iquadrat Informatica SL
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universitat Politècnica de València
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- Institut Català de Nanociència i Nanotecnologia
- Institute for bioengineering of Catalonia, IBEC
- Josep Carreras Leukaemia Research Institute (IJC)
- UNIVERSIDAD POLITECNICA DE MADRID
- University of A Coruña
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constant volume combustion chambers and advanced optical diagnostics. Additionally, the project explores hydrogen pre-chamber ignition and conducts full-cycle single-cylinder engine simulations to optimize
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, funded by the European Commission. You can find more information on this project at NEWTON, https://newton-6g.eu/ . The Doctoral Network is led by IQUADRAT, the ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS
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nature-based systems (composting, constructed wetlands, etc.) to optimize nutrient use efficiency and soil health. Assess the effects of different fertilization strategies on soil quality and health and
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official guidelines in the link provided: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/wp-call/2023-2024/wp-2-msca-actions_horizon-2023-2024_en.pdf ). The final gross
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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architectures, while also being in line with the Open RAN initiative; Novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources. In
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: Modelling of optimization problems mainly related to the indicated line of research, as well as the design, implementation, and validation of algorithms to solve them Where to apply Website https
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
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AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection. 2) knowledge-graph-based combinatorial experiment designs are used to span