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processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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programme Reference Number 2026-R0230 Is the Job related to staff position within a Research Infrastructure? No Offer Description - work environment: The research environment at the University of Montpellier
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
, drug loading, and release performance. Key Responsibilities * Design and fabricate microneedle array patches using CLIP 3D printing * Develop and optimize loading strategies and polymer formulations
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; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with
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: • Developing and optimizing DGT passive samplers for simultaneous monitoring of PFAS, antibiotics, and biocides • Designing and conducting laboratory experiments (performance tests, kinetics, microcosms
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conditions. Work Plan Description Objectives: The main objective of this research project is to use real 2D data to optimize the workflow of FWI inversion algorithms. Methodology: 2D seismic data will be used
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. Established in 2007, it aims to promote and develop technological research hubs in the fields of materials and nanomaterials, biotechnology, microelectronics, and life sciences. Its work is focused on applied
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Processes Unit, seeking talented and motivated candidates to work on biogas production from the organic fraction of municipal solid waste. This position is part of the HUB Madrid Vuela Sostenible Project, a
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driving epithelial dysfunction and disease-associated remodelling. In this role you will: Establish and optimize human iPSC-derived skin and hair follicle organoid systems. Design and perform CRISPR/Cas9