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Statistics (sexual) PhD Projects, Programs & Scholarships

We have 24 Statistics (sexual) PhD Projects, Programs & Scholarships

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  Development of Convolutional Neural Networks and Associated Error Estimation Techniques for Vertebral Segmentation in Axial Computed Tomography Image Slices
  Dr N Thacker, Dr P Bromiley
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Vertebral fractures (VFs) are often an early manifestation of osteoporosis but are significantly under-diagnosed in clinical practice.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
  Establishing the reliability and validity of digital tools to collect patient generated data
  Dr J McBeth, Prof W Dixon
Applications accepted all year round

Funding Type

PhD Type

Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring.
  Exploring the influence of proteogenomics in patients receiving biologic drugs for treatment of psoriatic arthritis
  Prof A Barton, Dr James Bluett, Dr N Nair
Applications accepted all year round

Funding Type

PhD Type

Background. Psoriatic arthritis (PsA) is an inflammatory arthritis, associated with the chronic skin condition psoriasis, which causes joint inflammation.
  Exploring the transcriptomic and chromatin landscapes of fibroblast-like synoviocytes in rheumatoid arthritis
  Dr S Eyre, Mr P Martin, Dr AM Morris
Applications accepted all year round

Funding Type

PhD Type

Genetic studies in rheumatoid arthritis (RA) have been successful in identifying regions of the genome which contribute to disease risk, but it is often unclear which genes they effect.
  Improved classification of myositis disease subtypes using statistical genetics approaches for stratified medicine
  Dr J Lamb, Dr AM Morris, Dr H Chinoy
Applications accepted all year round

Funding Type

PhD Type

Keywords. idiopathic inflammatory myopathy, myositis, genetics, disease classification, stratified medicine. Idiopathic inflammatory myopathies (IIM) are heterogeneous autoimmune diseases characterized by inflammation of skeletal muscle (myositis).
  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).
  Phenotyping placental disease in women with diabetes and chronic hypertension using transcriptomic analysis
  Dr J Myers, Dr E Johnstone
Applications accepted all year round

Funding Type

PhD Type

Placental disease triggers medically-indicated preterm birth in 1 in 6 pregnancies complicated by chronic hypertension and/or diabetes (cardiometabolic disease).
  Transferability of genetic risk scores for complex human diseases across diverse population groups
  Dr AM Morris, Dr J Bowes
Applications accepted all year round

Funding Type

PhD Type

Genome-wide association studies (GWAS) have been extremely successful in identifying DNA variants that are associated with a wide range of complex human traits and common diseases.
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