PhD Position Causal Inference & Machine Learning
PhD Position Causal Inference & Machine Learning
We are hiring! We have an exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with @jeremylabrecque.bsky.social, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
23.06.2025 10:30 — 👍 4 🔁 3 💬 0 📌 0
The European Causal Inference Meeting - causal inference in health, economic and social science.
Assistant Professor at the Meta-Research Center, Tilburg University, NL. Interested in reproducibility, replicability, and overall robustness of psychological science. Developer of #statcheck: a spellchecker for statistics. She/her. Mom.
R, data, 🐕, 🍸, 🌈. He/him.
https://miguelhernan.org/
Using health data to learn what works.
Making #causalinference less casual.
Director, @causalab.bsky.social
Professor, @hsph.harvard.edu
Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Machine learning researcher, working on causal inference and healthcare applications
Assistant Prof. of CS at Johns Hopkins
Visiting Scientist at Abridge AI
Causality & Machine Learning in Healthcare
Prev: PhD at MIT, Postdoc at CMU
Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk.
jeremylabrecque.org
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
PhD student working on causal inference and ML @ TU Delft
rickardkarlsson.com
