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Statistics (computational physics) PhD Projects, Programs & Scholarships

We have 22 Statistics (computational physics) PhD Projects, Programs & Scholarships

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  Adding a New Layer to Biophysics
  Dr T Shendruk
Applications accepted all year round

Funding Type

PhD Type

In recent years, there has been an explosion in applying liquid crystal theory to biological systems. Dense suspensions of swimming microbes, cytoskeletal components, fibrous tissues and bacterial colonies all exhibit properties associated with nematic liquid crystals.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  Adaptive probabilistic meshless methods for evolutionary systems
  Dr T Sullivan
Applications accepted all year round

Funding Type

PhD Type

This project will develop and implement a new class of numerical solvers for evolving systems such as interacting fluid-structure flows.
  Heterogeneous materials in extreme environments: multiscale models of chemo-mechanical processes
  Dr L Figiel
Applications accepted all year round

Funding Type

PhD Type

Extreme volumetric expansion, high temperature gradients, and/or high-frequency vibrations can compromise structural integrity and safety of modern electronic systems (e.g.
  Deciphering the neural code of the hippocampus
  Dr M Montemurro, Dr J Gigg
Applications accepted all year round

Funding Type

PhD Type

Background. The brain processes and stores information about our lives and the world that surrounds us. At the neural scale, information is encoded through the precise timing of activity across populations of neurons.
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Neuronal Dynamics from a complex network perspective
  Prof A Politi, Dr E Ullner
Applications accepted all year round

Funding Type

PhD Type

The human brain is possibly the most intriguing complex system we know. The combination of experimental work and theoretical approaches has gained many insides in the last century but we are still far away from a real understanding.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
  Join a new graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

Funding Type

PhD Type

We are looking for outstanding graduates from all over the world - whether you have a degree in bioinformatics, computer science, mathematics, physics, molecular biology or something related, as long as you have a passion for solving biological questions through computational methods, the IMPRS-CBSC may be the PhD program for you.
  Identifiability analysis for stochastic models in mathematical biology
  Prof M J Simpson
Applications accepted all year round

Funding Type

PhD Type

Identifiability analysis for stochastic models in mathematical biology. We seek a PhD student to work in my research group who will be co-supervised by Christopher Drovandi (QUT) and Oliver Maclaren (Auckland).
  Computational imaging: Multi-Sensors Fusion for High Resolution 3D Lidar videos (EPS2020/40)
  Dr AH Halimi, Prof S McLaughlin
Application Deadline: 28 February 2020

Funding Type

PhD Type

Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.
  Microbial Micro-Engineers
  Dr M Mazza
Applications accepted all year round

Funding Type

PhD Type

Microorganisms occupy every crevice within global ecosystems and impact all aspects of life. However, too little is understood about their movement within physical crannies, and how they can restructure these microspaces for their own benefit.
  What’s the Matter with Walruses?
  Dr T Shendruk
Applications accepted all year round

Funding Type

PhD Type

Walruses, the tusked and massive marine mammals, spend much of their time resting on polar sea ice, but when that ice recedes in the summer months, they must find shore.
  Predicting fracture risk in metastatic bone disease: A combined finite element modelling and machine learning approach
  Prof P Pankaj
Application Deadline: 18 December 2020

Funding Type

PhD Type

The femur (or thighbone) is a common site for the growth of tumours due to different types of cancers that originate elsewhere but spread to the bone.
  Approximate Bayesian methods for large scale imaging problems (EPS2020/41)
  Dr Y Altmann
Application Deadline: 28 February 2020

Funding Type

PhD Type

This project consists of investigating new approximate Bayesian methods for fast and robust estimation in high dimensional problem.
  Overcoming the penetration depth limitations of optical coherence tomography in clinical dentistry using full electromagnetic wave computer models
  Dr P H Tomlins, Dr R Donnan
Applications accepted all year round

Funding Type

PhD Type

Background. In healthcare, imaging is one of the most important diagnostic tools available. Deep tissue imaging is usually achieved using either ionising X-Ray radiation, MRI which is expensive or ultrasound, which has low resolution.
  Effective models for function-structure relationship in complex biological media
  Dr I Chernyaysky, Prof O Jensen
Applications accepted all year round

Funding Type

PhD Type

A complex multiscale relationship between the structure and function is common in many human organs (such as the lung, liver and placenta), and many diseases are associated with an imbalance in the relationship.
  Integrative statistical inference methods for eukaryotic gene regulation with applications to embryonic stem cell differentiation
  Dr I Iqbal, Prof M Rattray, Prof A Sharrocks
Applications accepted all year round

Funding Type

PhD Type

Embryonic stem cells (ESCs) can differentiate into different cell types through intermediary cell states and deeper understanding of the regulatory control underlying these differentiation stages is a very important topic in the study of mammalian development (Yang et al., 2014 & 2019).
  Deep learning for image colour transfer (GONGH2U20SF)
  Dr H Gong, Prof G Finlayson
Application Deadline: 31 May 2020

Funding Type

PhD Type

Colours may vary from image to image. This may be caused by different capture conditions (e.g. illumination, camera), seasons, object reflectances, and post-processing.
  Developing a multiscale description of complex fluids from the molecular to the continuum scales
  Dr L Lue, Dr D Kivotides
Applications accepted all year round

Funding Type

PhD Type

Engineers have traditionally used continuum equations to model processes, such as the Navier-Stokes equation for fluid flow. These methods require constitutive relations that encode the properties of the fluid; these are typically determined empirically and have limited predictive capabilities.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
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