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patch clamp PhD Projects, Programs & Scholarships

We have 8 patch clamp PhD Projects, Programs & Scholarships

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  Multilevel modelling of neuronal function: combining metabotropic pathways and membrane excitability in-silico.
  Dr F Tamagnini, Dr M Tindall
Application Deadline: 23 February 2019
Neurons work as information relays. They integrate information received from the environment at the subcellular scale, generating an appropriate electrophysiological response.
  Aiming to elucidate the pathophysiological basis of human neurological disorders from genetic molecular networks to complex neural systems.
  Dr Z Cader
Application Deadline: 26 July 2019
Aiming to elucidate the pathophysiological basis of human neurological disorders from genetic molecular networks to complex neural systems.
  Pathophysiology of red cell membrane permeability
  Dr J Gibson
Applications accepted all year round
Our project investigates how red cell membrane permeability is altered in pathophysiological states.
  Regulation of cortical and sub-cortical neural circuits by incretins, Neuroscience – PhD (Funded)
  Dr J Brown, Prof A Randall
Application Deadline: 25 January 2019
The University of Exeter’s College of Medicine and Health, in partnership with Eli Lilly and Company Limited, is inviting applications for a fully-funded BBSRC-CASE PhD studentship to commence in September 2019 or as soon as possible thereafter.
  Natural toxins and their synthetic analogues as tools to study ion channels and as potential drugs and pesticides
  Dr I R Mellor
Applications accepted all year round
The project will use a combination of electrophysiological techniques such as voltage-clamp and patch-clamp with molecular biology and protein expression to understand how natural toxins and their synthetic analogues act on ion channels in the nervous system.
  Molecular basis of hearing in Insects
  Dr B Warren
Applications accepted all year round
The newly-founded Warren lab is after an ambitious and resilient PhD student to work on hearing in the desert locust.
  Analysing ECG with deep learning: human supervised analysis versus A.I. (Artificial Intelligence)
  Dr R Barrett-Jolley, Dr C Dart
Applications accepted all year round
This is a unique and exciting opportunity to learn new skills in artificial intelligence and ageing biology. You will combine patch-clamp electrophysiology with cutting edge machine learning to predict and understand how cells in the heart age.
  Homeostatic balancing of neuronal excitation and inhibition in vivo
  Dr A Lin
Application Deadline: 23 January 2019
Neuronal excitation and inhibition are very carefully balanced in the brain, and perturbed excitation/inhibition (E/I) balance has been linked to diseases such as epilepsy, autism and schizophrenia.
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