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reconstruction PhD Projects, Programmes & Scholarships
We have 37 reconstruction PhD Projects, Programmes & Scholarships
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Robust Deep Learning for Medical Image Reconstruction
The Department of Biomedical Engineering at the University of Dundee is inviting applications for a self-funded PhD research project under the supervision of Dr Alessandro Perelli. Read more
Expanding phylogenetic reconstruction in bacteria
Bacterial phylogenies are generally built using single nucleotide polymorphisms (SNPs), as their behaviour is well-studied, and they usually produce robust phylogenetic trees. Read more
Enhancing cultural, conservation and restoration outcomes in the Cumberland Plain' of Western Sydney: Restoration and Reconstruction
ABOUT THE PROJECT. Western Sydney University is offering a scholarship to a highly motivated PhD candidate, to contribute to a $1.8 million collaborative research program designed to inform the cultural, conservation and restoration outcomes in the in peri-urban landscapes across western Sydney. Read more
Reconstruction of Transverse Beam Distribution using Machine Learning
The beam transverse distribution in CERN's high-radiation environment is measured by imaging the light generated by the particle beam hitting a scintillating screen, using cameras produced in-house based on radiation hard tubes. Read more
Machine learning and network reconstruction approaches to model tumour relapse in breast cancer
PhD opportunity in the CDT . AI for Healthcare. , under the supervision of Dr Barbara Bravi (Department of Mathematics) and Prof Luca Magnani (Surgery and Cancer). Read more
Breast Reconstruction: Design, fabrication and charactrisations of 3D printed breast construct for females with breast cancer after mastectomy.
Research Group:
Medical Engineering
Breast cancer is the most common type of cancer among women in the UK, with over 55,000 new cases every year. Currently about 18,000 mastectomies are performed on the NHS each year in England. Read more
Deep Learning for 3D Human Understanding
Understanding 3D humans is important to human machine interaction and applications like VR/AR. This project aims to develop effective and robust deep learning methods for 3D human understanding such as modelling, prediction, reconstruction and generation. Read more
Interpretable and transparent machine learning algorithms for medical image computing
The. UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI). at the University of Bath is inviting applications for a PhD project based in the Department of Computer Science and under the joint supervision of . Read more
Computer Vision with Deep Learning for Human Data Modelling
This project focuses on the research of deep learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more
Using an ice core bubble barometer to answer: “How big was the Antarctic ice sheet in the past?”
Brief summary. Bubbles of air in ice cores remember the pressure of the overlying air when they are trapped and thus could be used to monitor of the height of the ice sheet over time - but only if the processes during bubble trapping are fully understood. Read more
Characterising congenital heart disease variants in Drosophila
Congenital heart disease (CHD) is the most common congenital defect affecting approximately 1% of live births contributing to a significance incidence of birth-defect related mortality. Read more
Adaptive time-resolved optical imaging for medical applications
Research Group:
Centre for Inflammation Research
· Background. Optical imaging is rapidly becoming a key tool in medical procedures to aid clinicians. Read more
Quantum-enhanced imaging in extreme environments
The. Single‑Photon Group. at. Heriot‑Watt University. offer a four year fully funded PhD position examining aspects of single‑photon and quantum‑enhanced imaging. Read more
Detection of Peripheral Artery Disease from Photoplethysmography Signals Using Machine Learning
This multidisciplinary project is concerned with detecting peripheral artery disease (PAD) from a photoplethysmography (PPG) signal collected from a sensor on the foot. Read more
Global diversity and ecosystem functions of plant-microbe symbioses
Research Group:
CENTA - Central England NERC Training Alliance
Project Highlights. We have discovered a previously unknown and abundant plant- mycorrhizal symbiosis with global distribution. Read more