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trials PhD Projects, Programs & Scholarships

We have 123 trials PhD Projects, Programs & Scholarships

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  Predicting direction and magnitude of bias in clinical trials
  Dr J Savovic, Dr H Jones
Applications accepted all year round
Background. Although teams conducting randomised controlled trials (RCTs) aim to minimise bias, some desirable features can be challenging to ensure in practice.
  Comparison of statistical methods for the analysis of patient-reported outcomes in Randomised Controlled Trials
  Prof S Walters, Dr R Jacques
Application Deadline: 23 January 2019
Patient reported outcome measures (PROMs), such as the SF-36, are now frequently used in trials as outcomes and increasingly in routine clinical practice.
  Development of imaging-based stratification for haemorrhagic stroke trials
  Dr R Dineen, Dr A French, Prof N Sprigg
Application Deadline: 25 February 2019
Spontaneous intracerebral haemorrhage (SICH) accounts for up to 20% of strokes and has higher mortality and worse outcomes than ischaemic stroke.
  Quantification of novel MR imaging biomarkers in Kidney Disease.
  Dr S Francis, Prof M Taal, Dr N Selby
Application Deadline: 25 February 2019
This PhD studentship will run in conjunction with a MRC-funded Partnership research project UKRIN-MAPS (UKRIN MRI Acquisition and Processing Standardisation https://www.nottingham.ac.uk/research/groups/spmic/research/uk-renal-imaging-network/ukrin-maps.aspx).
  Activation of targeted DNA Damage Response as a novel therapy for Ovarian Cancer
  Dr E. Sanij, Prof R. Pearson
Applications accepted all year round
High-grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of ovarian cancer and accounts for 70% of all ovarian cancer deaths.
  Efficient and effective adaptive radiotherapy
  Dr N Hardcastle, Dr A Yeo
Applications accepted all year round
Approximately 40% of cancer patients benefit from radiotherapy. Radiotherapy involves highly targeted radiation beams directed at the tumour, whilst avoiding surrounding normal tissues.
  Radiomics for cancer diagnosis and patient outcome prediction
  Dr J Korte, Dr N Hardcastle
Applications accepted all year round
adiomics is an emerging field that aims to extract vital information from growing collections of medical imaging and patient data.
  Interdisciplinary investigation of the role of amino acids in immunometabolic responses to metformin in humans
  Dr G Rena, Prof C Lang
Applications accepted all year round
There is overwhelming evidence that inflammation contributes to the development of cardiovascular disease (CVD)but counterbalancing this is evidence from meta-analysis of randomised control trials that many existing anti-inflammatory drugs, such as COX2 inhibitors and anti-TNF drugs, tend if anything to exacerbate risk of CVD.
  A proteomic study of serum from children with neurofibromatosis type 1 autism
  Prof J Green, Dr S Garg, Dr R Unwin
Applications accepted all year round
Proteomic approaches using mass spectrometric analysis have proved a valuable tool in understanding the molecular pathogenesis of complex disorders such as schizophrenia and ASD.
  New analytical and simulation tools in clinical oncology
  Dr G Stupfler, Dr C Brignell
Applications accepted all year round
New analytical and simulation tools in clinical oncology. PhD studentship in Mathematical Sciences. School of Mathematical Sciences, University of Nottingham.
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