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world. We look forward to receiving your application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous
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application per studentship, you cannot apply for multiple studentships on one application. Contact Details Dr Adam Ingram School of Mathematics, Statistics and Physics Email: adam.ingram@newcastle.ac.uk
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of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview The exploration of molecular transport at small scales is less studied compared to its electronic counterpart. However
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-terminal scheme configurations with various combinations of DC voltage controlling stations (including droop control, both single and multiple droop) and active power controlling stations. The multi-terminal
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for multiple pathogenic processes such as impaired protein aggregate clearance and pathological exosome mediated spreading. These evolutionarily conserved protein complexes orchestrate the clearance
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 29 days ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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transporters based on their structural characteristics. Main activities: -Conduct multiple sequence alignment of plant transporters using phylogeny-aware profiles -Computationally predict and then analyze high
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transport at small scales is less studied compared to its electronic counterpart. However, significant progress has been made in the last decade, particularly in creation of nanometer-sized artificial
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of optoelectronics and novel semiconductors, as part of the research projects focused on propagation dynamics of exciton-electron complexes in atomically-thin semiconductors and quantum gases in moiré-ordered and
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient