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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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). o Software and hardware co-design. Indicative skills/experience: - Designing for real-time inference and hardware acceleration. - Knowledge of runtime reconfiguration, latency profiling, and dataflow
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statistical inference, quantum metrology, and quantum machine learning. The group 7 senior researchers (4 full professors), 5 postdoctoral researchers, and 12 PhD students. Its members have a strong
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techniques and neural network techniques to adjust high-resolution X-ray spectra and infer physical properties of the emitting plasma. · Developing algorithms that optimise the adjustment of high-resolution X
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applied chemistry. Strong background in synthesis and steady-state and time-resolved spectroscopy characterization, with a proven track record of publications in high-impact journal. Special consideration
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dynamics and interactions at the cell membrane, with the possibility to take part in experiments such as single-particle tracking and super-resolution microscopy. The student will join an interdisciplinary
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on fluorescence lifetime imaging (FLIM). Other advanced microscopy techniques such as single-particle tracking may also be applied. The project is to be carried out at the Madrid Institute for Advanced Studies in
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Visiting Researcher to perform research in applications of AI to fault-tolerant computing, including blockchains. The candidate should have an outstanding track record of research, recognized international