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🏢 Vacancy: Novo Nordisk Postdoctoral Research Fellow (4 posts) 📍 Department of Statistics, University of Oxford 📃 Contract: Full time, fixed-term for 3 years 💷 Salary Range: £36,024 – £44,263 ⏲️ Deadline: 12pm UK, 30 Apr 2025 Full details & how to apply 👉 shorturl.at/3l47e
Research internships in AI safety www.lasrlabs.org
Along with the lightweight library, we provide short code snippets in the paper.
Apr 7, 2025
Apr 7, 2025
Go read it on arXiv! Thanks to my co-authors @sambowyer.bsky.social and @laurenceai.bsky.social 💥
Mar 6, 2025
…and for constructing error bars on more complicated metrics, such as F1 score, that require the flexibility of Bayes.
Join a 13-week research programme and write a technical AI safety paper in a small team with supervision from an experienced researcher. Work full time from the LISA offices in London alongside AI Saf...
www.lasrlabs.org
LASR Labs
...and treated without an independence assumption (e.g. using the same eval questions on both LLMs)...
...for making comparisons between two LLMs treated independently...
Mar 6, 2025
Last DL lecture open.substack.com/pub/probappr...
Mar 6, 2025
Lecture 5: Backpropagation and Autodifferentiation Thank god the days of computing gradients by hand are over! Nevertheless, it’s good to know what backprop is and why we do it open.substack.com/pub/probappr...
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Job Details
The fourth post in the series: open.substack.com/pub/probappr...
Mar 6, 2025
Mar 6, 2025
Mar 17, 2025
Mar 12, 2025
Mar 9, 2025
Department of Statistics
Desi R Ivanova
Desi R Ivanova
Desi R Ivanova
Desi R Ivanova
The Novo Nordisk – Oxford Fellowship Programme open for applications The programme is focused on research in diabetes, obesity, cardiovascular diseases, and other cardiometabolic conditions. There are 4 fully funded fellowships (3 years). For more info on how to apply, visit shorturl.at/3l47e
Desi R Ivanova
Desi R Ivanova
Desi R Ivanova
Apr 1, 2025
Desi R Ivanova
Desi R Ivanova
Radcliffe Department of Medicine
Deep learning's black magic
open.substack.com
Lecture 6: Training practicalities
open.substack.com
Attention!
Lecture 4: Neural network architectures
Order matters
open.substack.com
Lecture 5: Backprop and Autodiff