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We have 20 Data Analysis (computational physics) PhD Projects, Programmes & Scholarships for Self-funded Students

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Data Analysis (computational physics) PhD Projects, Programmes & Scholarships for Self-funded Students

We have 20 Data Analysis (computational physics) PhD Projects, Programmes & Scholarships for Self-funded Students

Physics-based Multi-scale Modelling of Multi-Material Additive Manufacturing

Project Details. Additive manufacturing (AM) is emerging as a promising alternative for designing multi-material parts for complex geometries in engineering applications; especially in the biomedical sector. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Data-Driven Computational Sensing and Imaging

Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Robust Computational Methods for High-Dimensional Imaging

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches.   The project is funded for 3.5 years for international students and a ~£17K annual stipend. Read more

Understanding eye-hand coordination in object interception - a computational modelling approach

This PhD project with Dr Yeo will focus on understanding how we perform interception. Interceptive movements--such as catching a gently thrown ball, quickly grabbing a tilting cup to avoid spilling or even just handshaking someone--feel like trivial everyday tasks for us that seemingly look too simple to study. Read more

Machine Learning and Molecular Modelling in Mass Spectrometry

This PhD project will harness the power of computational modelling and machine learning (A.I.) to analyse data obtained by mass spectrometry experiments and predict structural characteristics of biomolecules and their interactions. Read more

PhD position in Materials Informatics

The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab. https://www.m4l-lab.com/) at Villanova University is looking for one Ph.D. Read more

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

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