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Field
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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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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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the health and global improvement of human well-being. The general objectives of IRTA are to promote research and technological development in agri-food, to facilitate the transfer of scientific findings, and
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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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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply
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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
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synthesis. SERS detection. DFT calculation. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldChemistry » Physical chemistryEducation LevelPhD
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. Objectives: This PhD project aims to design and develop advanced nanoarchitectured surface coatings for bioelectronic cutaneous interfaces (BCHIs), minimizing skin irritation and infection risks. The candidate
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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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or equivalent Skills/Qualifications • Solid knowledge in bioengineering, biotechnology, or biomedical engineering. • Experience or interest in biosensors and biomarker detection. • Fundamentals of analytical