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Field
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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, agent-based modelling, and the use of online experiments is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process
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No Description/content The Regenerative Sciences PhD programme (PhD RegSci) at the MHH (Hannover Medical School) focuses on novel regenerative agents and biomaterials as well as cell transplants
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Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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activity support grants. Due to funding stipulations set by UKRI, we are able to recruit up to 30% of international applicants to the cohort each year. You can find further details at https://www.centre
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interactions among neighbouring agents and their environments. The research will exploit an interdisciplinary approach that combines control theory, nonlinear dynamical systems, robotics, and formal methods
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of genetically encoded agents, primarily for photoacoustic and fluorescence imaging. We are also driving the development of specialized screening, spectroscopy, and imaging instruments forward to complement our
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companies in living labs, contribute to workshops and consortium meetings, and help ensure that your results are usable in practice (not only published). Where to apply Website https
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the European Research Council (ERC-CoG2025). Main tasks: This project aims to develop smart imaging agents based on single particle tracers to image alterations of the blood flow dynamics in cancer by positron