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We have 51 Data Analysis (computational) PhD Projects, Programmes & Scholarships

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Data Analysis (computational) PhD Projects, Programmes & Scholarships

We have 51 Data Analysis (computational) PhD Projects, Programmes & Scholarships

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

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. 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

Exploring Sensorimotor Function and Developing Rehabilitation Strategies using Experimental and Computational Approaches

In collaboration with a multidisciplinary team consisting of biologists, clinicians, engineers, mathematicians, and computational biologists and startups around the globe, we aim to decipher the organizational principles of sensorimotor function in mammals. 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

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

Accelerating computational materials discovery with diverse toolsets for verification and optimisation

The discovery of new functional materials to drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and a myriad of other unmet needs, is a scientific and societal grand challenge. 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

Computationally efficient modelling & simulation and applications

The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate modelling and simulation of complex systems in diverse science and engineering disciplines including civil engineering, biomechanics and life science. Read more

Join our graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

We are looking for outstanding graduates from all over the world – whether you have a degree in biology, biochemistry, bioinformatics, computer science or mathematics, as long as you have a passion for working at the interface between biology and computation, this may be the place for you. Read more

Synergistic Experimental and Data-driven Catalyst Development for Sustainable Synthesis

The Thomas Group in collaboration with GSK and Dr Ephrath Solel Moroshko are now recruiting a motivated PhD student to develop a new method for the discovery and application of sustainable catalysis. Read more

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