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Applied Mathematics (brain) PhD Projects, Programs & Scholarships

We have 17 Applied Mathematics (brain) PhD Projects, Programs & Scholarships

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  Developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

A brain decoding model aims at predicting what sensory stimulus is received (e.g. visual stimuli, different images), which mental state is experienced (i.e.
  Toward Next generation of Brain Computer Interfaces
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control.
  Adaptive Learning in brain-robot interactions
  Dr M Arvaneh
Applications accepted all year round

Funding Type

PhD Type

This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals.
  Computational Neuroscience: Machine Learning and Nonlinear Signal Processing
  Dr F He
Application Deadline: 3 June 2019

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. Neurodegenerative brain disorders like Parkinson’s disease (PD) and Alzheimer’s disease (AD) are affecting more than 50 million people worldwide.
  The mathematics behind the smartness of neural networks
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

Intelligence is one of the pillars that allows animals to master their environment. Scientific approaches recently proposed have been capable of simulating networked systems that reproduce similar emergent manifestations of behavior as those observed in the brain.
  Deep learning for early detection of cancer recurrence in patients with glioblastoma through imaging
  Dr A Gooya
Application Deadline: 1 August 2019

Funding Type

PhD Type

Brain tumours are cancer of unmet need and are the most common cause of cancer death in under the 40s. Glioblastoma is the most common primary adult brain tumour and carries one of the worst prognoses amongst human cancers, with a median survival time of about 15 months.
  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.
  Bridging the interface between time series analysis and network science
  Research Group: Complex Systems and Networks
  Dr L Lacasa
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
  Developing Theoretical Frameworks to Solve Outstanding Network Theory and Data Science Algorithms
  Research Group: Complex Systems and Networks
  Dr G Bianconi
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
  Network modelling of spatial distributions from large data sets
  Research Group: Complex Systems and Networks
  Dr V Nicosia
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.
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