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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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                such as micro-XRF, synchrotron diffraction, SIMS, and 3D X-ray CT, it will reveal how variations in composition, microstructure, and metal-making processes shape an object's unique metal pedigree 
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                metal in the space between the NDs) or networks of 2D metal pads formed on the domains. Our team has good experience in the formation of hybrid nano-objects (organo-metallic) on the surface of water by 
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                funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project Contested Objects, Connected Histories traces Bunzlauer/Bolesławiec pottery 
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                The project Contested Objects, Connected Histories traces Bunzlauer/Bolesławiec pottery, a craft shaped by territorial transfer, displacement, and contested ownership. How can ceramics embody 
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                learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging 
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                24th November 2025 Languages English English English Kavli Institute for Systems Neuroscience has a vacancy for a PhD combining optical imaging with 3D tracking to map neural coding of body posture 
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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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                . Supervisor Bio I’ve been working in the field of Bayesian ML for 10+ years, with a focus on real-world applications and have developed several insect tracking techniques. As well as an opportunity to conduct 
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                PhD: Digital Optimisation of Rail Grinding EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr