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-represented backgrounds. The objective of the research project is to perform Bayesian inversion to characterise the velocity field of 3D partial differential equations describing brain fluid and solute movement
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=en&user=yOlNzfcAAAAJ ) at IMDEA Networks Institute is looking for a highly motivated PhD candidate to join our research efforts in understanding and mitigating cross-platform tracking. The successful
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for experiments using reinforcement learning, Bayesian methods, image analysis and data analysis. Collaborate with interdisciplinary teams, including machine learning experts, device modelling specialist
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, and photodynamic analyses, with the objective of integrating them as the electroluminescent layer in MOF-based light-emitting diodes (MOF-LEDs). Requirements: The candidate must hold a PhD degree in
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period. The research of the candidates must be aligned with IRBLleida’s scientific programs and strategic objectives. Ideally, their expertise and field of research should generate new synergies with
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opportunities with ICRA´s international academic and industrial partners. The key objective of the project is to develop innovative electrode materials and electrochemical systems for separation and recovery
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and to anticipate, plan and write R+D projects, reports and technical documents. Teamwork skills and ability to establish and build relationships that will allow pursuing the objectives of the R&D
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for di-agnosis and therapies. Light & Matter and Ultrafast Science Study of the interaction of light with objects and matter, including linear and nonlinear material responses, bulk and nano-geometries
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of osteoarthritis). This project aims the following main objectives: Define patient-specific key functional and mechanical requirements for large osteochondral scaffolds. Produce biocompatible porous 3D structures
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and