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to particle separation systems. · Optimize the design of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimizing Integrated Quality and Maintenance Management Systems
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approach. WP1 dealing with the elaboration, characterization and optimization of Cu/CeO2-TiO2 photocatalytic systems, will be mainly performed at IS2M (Mulhouse) and WP2 focused on the evaluation of gas
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multiple departments within the University of Cambridge as well as the collaborating organisations (RSBP, NIAB and UKCEH). The role holder will investigate machine-learning approaches that advance the core
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maps of muscle activity in individuals with CNSLBP across multiple sessions. Specific Objectives - Identify optimal biofeedback practices (movement, dosage, duration) through a scoping review, patient
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previously acquired knowledge. We will study collaborative learning scenarios, where multiple devices or sensors jointly process and learn from data streams. Such settings introduce additional challenges
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mini-applications that embody key AI workloads by combining multiple underlying kernels and the key data communications between them. You guide and help analysis and optimization of the performance
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improve overall task efficiency. Topics may include autonomous mission planning, resource-aware scheduling, multi-drone coordination, optimization-based decision-making, and integration of robotic
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for atomic oxygen protection Deposit and optimize conformal coatings on satellite-relevant composite and polymer substrates Study the impact of deposition parameters on coating performance (adhesion, barrier
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates