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agents PhD Projects, Programs & Scholarships

We have 148 agents PhD Projects, Programs & Scholarships

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  New antimicrobial agents for biofilm-related infections
Queensland University of Technology School of Chemistry, Physics and Mechanical Engineering
  Dr K Fairfull-Smith
Applications accepted all year round
The adhesion of bacteria to surfaces and their subsequent ability to aggregate into colonies called biofilms is a significant problem in healthcare systems around the world.
Details
Type/Funding
  Accountable autonomy of software agents
Aberdeen University Department of Computing Science
  Prof W Vasconcelos, Dr N Oren
Applications accepted all year round
Many tasks once performed by humans are now carried out by autonomous artificial intelligence systems. An important aspect of such systems is their accountability, that is, how their decisions and behaviours can be recorded, scrutinised and, if necessary, revised.
Details
Type/Funding
  Project SAMSA - Smart Analytical Materials for Supertoxic Agents
Cardiff University Cardiff School of Chemistry
  Dr I Fallis, Dr J Beames, Prof S Pope
Application Deadline: 29 March 2019
In this project we aim to develop a new class of sensor molecules which are designed to give different changes in colour or fluorescence upon reaction with different types of target molecule, to allow non-experts to make informed decisions on CWA decontamination.
Details
Type/Funding
  Hypoxia in neurodegenerative diseases: Targets for new therapeutic strategies
Nottingham Trent University School of Science & Technology
  Dr L de Girolamo, Prof S Rutella
Application Deadline: 12 April 2019
The incidence of Parkinson’s and Alzheimer’s disease increases with age, posing serious health concerns. Hypoxia contributes to rapid neurodegenerative decline and impacts on disease progression.
Details
Type/Funding
  A Mean Field Game Approach for Modelling and Control of Large-Scale Multi-Agent Systems
University of Bath Centre for Accountable, Responsible and Transparent AI
  Dr A De Paola
Application Deadline: 1 April 2019
The modelling and regulation of large-scale multi-agent systems [1] remains an open problem in many diverse research areas such as economics, crowd dynamics and power grids.
Details
Type/Funding
  Design and synthesis of novel, targeted, anti-cancer agents
University of Reading School of Pharmacy
  Prof H Osborn, Dr F Greco
Applications accepted all year round
One of the major problems of cancer chemotherapy is that the drugs used have poor selectivities for cancer cells and cause damage to normal cells and organs.
Details
Type/Funding
  Fast, reliable and secure wireless IoT chaos-based communication
Aberdeen University Department of Physics
  Dr M S Baptista
Applications accepted all year round
This PhD project tackles scientific issues aimed at creating and laying the mathematical foundations of an innovative Wireless IoT Communication System…
Details
Type/Funding
  Reliable and efficient AI in 5G-enabled distributed multi-sensory systems
University of Bath Centre for Accountable, Responsible and Transparent AI
  Dr X Chen
Application Deadline: 16 April 2019
With the rapid development of 5G and AI integrated microchip techniques, effective edge computing become feasible. Edge computing is an emerging technique that aims to perform powerful AI computing in distributed AI-chip-enabled sensors/agents.
Details
Type/Funding
  The greening of peptide synthesis
University of York Department of Chemistry
  Prof M North
Applications accepted all year round
Peptide synthesis (both solution and solid state) is of fundamental importance to the pharmaceuticals sector. They are therefore expected to play a major role in the future of drug discovery.
Details
Type/Funding
  Bridging the gap between environment and health – exposure assessment of potentially harmful agents in soil
Kingston University Faculty of Science, Engineering and Computing
  Dr P Hooda
Applications accepted all year round
Our current understanding of soil exposure in the UK population is extremely limited. The current risk assessment paradigm makes large assumptions based on very uncertain data to estimate direct exposures via soil ingestion or dust inhalation.
Details
Type/Funding
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