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optimize 3D bioprinting strategies for tissue-engineered meat Study material–cell interactions in biofabrication contexts Collaborate within a multidisciplinary research and innovation consortium Present and
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candidate will work full time on the above outlined research project. It is expected that they will actively and creatively develop and optimize the detailed methods to pursue the overall project goals. All
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on the design, optimization, analytical and numerical evaluation of the performance and practical implementation of novel linear and non-linear backscatter-based identification and sensing transponders and
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, the precision and temperature stability of the new sensor/actuator will be optimized. Other possible projects include actuators for electric drives and sensors of electric currents, speed, for non-destructive
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architecture, physical-aware implementation, under one roof. This vision will be enable by architecture technology co-optimization for next-generation HPC and Automotive systems using available foundry
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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
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: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and composites
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SUBATECH. The proposed thesis is part of the research activities of the team RAMBO of the RAMBO team (Robot interaction, Ambient systems, Machine learning, Behaviour, Optimization) of the Lab-STICC
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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for advanced applications in PET imaging. PET chemistry plays a central role in this endeavor, as the design of radiotracers with optimal in vivo stability, selectivity, and pharmacokinetics is essential