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agents PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships

We have 138 agents PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships

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A novel framework for engineering swarm agents and their controllers

Background. Swarm algorithms offer a number of promises in the form of multiple agents working together to achieve a task, robustness against disturbances and multiple sensing agents to digitise the environment to mention a few. Read more

Developing cost-effective and eco-friendly antiviral nano-agents

Humans have been fighting viruses throughout history, from smallpox, Ebola, HIV to SARS, MERS and Zika, which have costed billions of lives and made severe socio-economic impacts irreversibly. Read more

Engineering Networked Machine Learning via Meta-Free Energy Minimisation

Inspired by neuroscience, informed by information-theoretic principles, and motivated by modern wireless systems architectures integrating artificial intelligence (AI) and communications, this project sets out to develop a paradigm-shifting framework for networked machine learning (ML) that is centred on the following ideas. Read more

Utilisation of novel approaches in the bioprospecting of extreme habitats for novel antimicrobial agents. (ref: SF22/HLS/APP/ALJONES)

Since the discovery of penicillin, bioactive compounds have been sourced from microorganisms, which has led to the development of the majority of our antimicrobial agents. Actinomycetes are the most prolific producers of well-known antibiotics in clinical use, such as Rifampicin and Streptomycin. Read more

The development of new antiviral agents targeting HIV-1

Even before the current global COVID-19 pandemic, the threat posed to human health by viruses was extensive and although significant progress in targeting some viruses (e.g., HIV-1 and hepatitis C) has been made, challenges remain. Read more

Inorganic chaperones fused to fungal derived chemotherapeutic agents for the treatment of neuroblastoma

This is a unique and cutting-edge PhD research opportunity in the multidisciplinary field of nanotechnology for a student with a strong background in chemistry / biochemistry interested in applying knowledge and developing drugs and drug delivery systems for cancer chemotherapy. Read more

Hierarchical reinforcement learning

One of the most fundamental problems in artificial intelligence (AI) is how to enable autonomous development of action hierarchies, in other words, how to endow artificial agents with the ability to autonomously form useful high-level behaviours (for example, grasping) from existing behavioural units (for example, primitive sensory and motor actions available to a robot). Read more

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