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- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
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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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& 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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: 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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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 1 month 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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Intelligence Platform for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform
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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
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of the proposed doctoral individual project: The doctoral candidate will carry out the individual project titled: “Optimization of Functionally Graded Osteochondral Scaffolds” Objectives: 1) analyse existing FEM
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 1 month ago
processes and waste generation points. - Characterization of industrial waste and wastewater. - Optimization of waste management and proposals for improvement. - Developing strategies based on the circular
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 1 month ago
, fabrication, and optimization of electrochemical devices, exploring novel electrode materials, miniaturization strategies, and real-time analytical capabilities for diverse applications, including biosensing
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Description New call for applications for non-statutory research staff positions, Test for selecting a Researcher, Department Chemical Engineering_PI25043 Where to apply Website https://seuelectronica.urv.cat