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We have 86 complexity science PhD Projects, Programmes & Scholarships

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complexity science PhD Projects, Programmes & Scholarships

We have 86 complexity science PhD Projects, Programmes & Scholarships

EPSRC CDT in Bioprocess Engineering Leadership: Complex Biological Products Manufacture

Biological products and their manufacture are progressing to unparalleled levels of complexity. Examples include engineered biocatalysts, antibody-drug conjugates, multivalent vaccines and cellular therapies. Read more

Using Brain Computer Interface to Improve Cognitive Performance

Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more

Reconfigurable Antennas for Computational Microwave Imaging

Conventional microwave imaging methods involve variants of synthetic aperture radar and phased arrays. These techniques offer significant drawbacks in terms of key system metrics, including data acquisition speed, imaging resolution, and hardware-layer complexity. Read more

Advanced Methods in Hyperspectral Imagery Analysis for Smart Sensing Applications

Hyperspectral imagery, an extension of traditional imaging, has proven to be a significant tool in various scientific fields due to its ability to detect and identify objects based on their unique spectral signatures. Read more

Understanding the ecological and evolutionary effects of heatwaves in tropical species and ecological communities

Heatwaves are considered one of the most threatening processes for our plants and animal species as the Earth’s climate warms. There is much to understand about how our species and the ecological communities they form will change and adapt through heatwaves. Read more

PhD position in plasma safety and effects on human patient samples and DNA-repair mechanisms

Short overview of PlasmACT. The PlasmACT network brings together 5 beneficiaries and 10 associated partners, located in 5 different countries (Germany, France, Netherlands, Belgium, and Luxembourg). Read more

Constrained control and set invariance

Invariant sets play an important and fundamental role in the design of control systems. An invariant set is a region of a dynamic system’s state space that has the following property. Read more

Predictive and optimization-based control of smart grids: theory and algorithms

Model predictive control (MPC) has long been identified as a leading candidate technique for control in future power networks and smart grids, because of its ability to handle constraints and optimize the performance or economy of the system. Read more

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