PhD studentship in biostatistics: investigating operating characteristics for rare disease clinical trials https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=TC122 Award Summary This is a 4-year studentship. Stipend of £18,873 (stipend may be uplifted subject to confirmation) and home fees are covered. Overview With typically much smaller populations of eligible participants, clinical trials in rare diseases often cannot achieve the standard 80% Read more about Funded PhD in Biostatistics, Newcastle University[…]

We are pleased to share an exciting PhD opportunity at Erasmus MC. The project focuses on integrating causal inference, surrogate marker evaluation, and joint models for longitudinal and event-time data to validate minimal residual disease as a surrogate endpoint in clinical trials for patients with hematologic malignancies. Further details about the position and the application Read more about PhD Positing in Causal Joint Models and Surrogate Markers at Erasmus MC, Rotterdam[…]

Η κ. Συριοπούλου Ελισάβετ, παλιά φοιτήτρια του μεταπτυχιακού μας και επίκουρη καθηγήτρια στο Karolinska Institutet έστειλε την εξής ανακοίνωση: Are you a biostatistician interested in cancer research and seeking a new opportunity? New position is now open at the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet! Join Therese Andersson‘s team on a project Read more about Career opportunity[…]

Για λεπτομέρειες πατήστε εδώ.

We have 2 openings for PhD positions at Leiden University Medical Center (the Netherlands), as part of the “Safe Causal Inference” consortium with experts from biostatistics, computer science, mathematics, and epidemiology. The projects focus on data-driven evaluation of prediction algorithms that incorporate the causal effects of medical treatments. Regular model assessment techniques such as cross-validation Read more about 2 PhD positions in Leiden on causal machine learning[…]

We offer a fully funded PhD position at Amsterdam UMC Topic: Interpretable machine learning for onco- and neurological applications Abstract: Prediction models are a cornerstone of clinical care as they enable (early) diagnosis of disease or personalized treatment. Machine learning (ML) methods hold the promise to improve upon classical models, but for these to be useful in Read more about PhD Vacancy in Amsterdam: Interpretable machine learning for onco- and neurological applications[…]