2 PhD positions in Leiden on causal machine learning

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[…]

Εκδήλωση: “Βιοστατιστική και Επιστήμη Δεδομένων Υγείας: Σπουδές και Επαγγελματικές Προοπτικές”

Ελεύθερη συμμετοχή μέσω Webex: https://tinyurl.com/biostat25 Facebook event: https://tinyurl.com/biostat25event Linkedin event: https://tinyurl.com/biostat25linkedin

PhD Vacancy in Amsterdam: Interpretable machine learning for onco- and neurological applications

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[…]

LSHTM Perspectives on Statistics in Medicine lecture by Prof. Vanessa Didelez

Perspectives on Statistics in Medicine 34th Annual joint LSHTM-RSS Lecture Speaker: Professor Vanessa Didelez, Professor of Statistics and Causal Inference at the University of Bremen Title: It’s about time – asking better questions for causal inference with time-dependent data ·         Date: Thursday, 19th June 2025 ·         Time: 17:30-18:30 UK ·         Venue: John Snow Lecture Theatre, LSHTM, Keppel Street, London, WC1E Read more about LSHTM Perspectives on Statistics in Medicine lecture by Prof. Vanessa Didelez[…]

Biostatistics position at the German Cancer Research Center (DKFZ) in Heidelberg

The Division of Biostatistics at the German Cancer Research Center (DKFZ) is seeking a (Bio-)Statistician (Bio)Statistician jobs.dkfz.de The Division of Biostatistics provides state-of-the-art statistical support individually tailored to all scientific duties of the DKFZ. We analyze data ranging from highdimensional molecular origin to in vitro studies and clinical trials. Our team strives to be at Read more about Biostatistics position at the German Cancer Research Center (DKFZ) in Heidelberg[…]

Statistical Trials Methodologist/Senior Trials Methodologist at The Institute of Cancer Research Clinical Trials & Statistics Unit (ICR-CTSU)

The Institute of Cancer Research Clinical Trials & Statistics Unit (ICR-CTSU) is expanding its statistical team with an exciting opportunity for an enthusiastic, motivated Statistical Trials Methodologist/Senior Trials Methodologist. We want to hear from you if you: Statistical Trials Methodologist/Senior Trials Methodologist Salary Range: £38,891 – £52,324 per annum Full time; Part time (minimum 60% Read more about Statistical Trials Methodologist/Senior Trials Methodologist at The Institute of Cancer Research Clinical Trials & Statistics Unit (ICR-CTSU)[…]

3 PhD fully funded PhD positions at UMC Utrecht

We offer 3 fully funded PhD positions to work on research methodology with experts in a great medical research environment. Interested in one of these projects? Send us your motivational letter and up-to-date CV via the website of the UMC Utrecht: more info in links below. Deadline for applicants: May 15th 2025. ——— PhD position Read more about 3 PhD fully funded PhD positions at UMC Utrecht[…]

Προκήρυξη αιτήσεων μεταπτυχιακού ΠΜΣ Βιοστατιστικής & Επιστήμης Δεδομένων Υγείας (2025-2026)

Προκήρυξη αιτήσεων μεταπτυχιακού ΠΜΣ Βιοστατιστικής & Επιστήμης Δεδομένων Υγείας για το ακαδημαϊκό έτος 2025-2026. Για να τη διαβάσετε, πατήστε εδώ. Για να μεταβείτε στη φόρμα των αιτήσεων, πατήστε εδώ.

LSHTM Perspectives on Statistics in Medicine lecture by Prof. Vanessa Didelez

Perspectives on Statistics in Medicine 34th Annual joint LSHTM-RSS Lecture Speaker: Professor Vanessa Didelez, Professor of Statistics and Causal Inference at the University of Bremen Title: It’s about time – asking better questions for causal inference with time-dependent data ·         Date: Thursday, 19th June 2025 ·         Time: 17:30-18:30 UK ·         Venue: John Snow Lecture Theatre, LSHTM, Keppel Street, London, WC1E Read more about LSHTM Perspectives on Statistics in Medicine lecture by Prof. Vanessa Didelez[…]