Nan van GelovenNan van Geloven
7 months ago
Causal machine learning Leiden University Medical Center in Netherlands
Causal machine learning
Leiden University Medical Center
Netherlands
Expired
Keywords
Computer Science
Data Science
Epidemiology
Biostatistics
Mathematics
Predictive Modeling
Software Engineering
Causal Inference
Econometric
Statistic
Description
HIRING!
Want to bridge the gap between causal inference and prediction to impact healthcare?
We have 2 openings for PhD positions in causal machine learning at Leiden University Medical Center , where you'll be part of the interdisciplinary “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology. You'll be developing new methods to evaluate causal prediction algorithms. If you have a Master's degree in (Bio)Statistics, Applied Mathematics, Data Science, Computer Science, Econometrics or a related field, and are eager to learn, find out how to apply here:
More info ?? https://lnkd.in/euqayBK8 .
Supervisory team: Jesse Krijthe , Saskia le Cessie , Aad van der Vaart and me.
CausalInference Biostatistics DataScience PhDLife Netherlands LUMC
Want to bridge the gap between causal inference and prediction to impact healthcare?
We have 2 openings for PhD positions in causal machine learning at Leiden University Medical Center , where you'll be part of the interdisciplinary “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology. You'll be developing new methods to evaluate causal prediction algorithms. If you have a Master's degree in (Bio)Statistics, Applied Mathematics, Data Science, Computer Science, Econometrics or a related field, and are eager to learn, find out how to apply here:
More info ?? https://lnkd.in/euqayBK8 .
Supervisory team: Jesse Krijthe , Saskia le Cessie , Aad van der Vaart and me.
CausalInference Biostatistics DataScience PhDLife Netherlands LUMC
How to apply
More info at https://lnkd.in/euqayBK8
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Professors
These two openings look like an amazing opportunity to learn and contribute to a topic that involves causal inference, evaluation of prediction algorithms, and software development… also a really strong supervisory team.