🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

"The bicycle is the most efficient machine ever created. Converting calories into gas, a bicycle gets the equivalent of three thousand miles per gallon." —Bill Strickland (Chart: Scientific American)

Introducing SIG Addons, a community-led TensorFlow project that implements new functionality not found in core TensorFlow! Read the post here ↓ goo.gle/2YfhCdb

#PhDposition We are looking for a PhD candidate to work on graph neural networks for electricity and gas networks. The position is joint with Alliander, deadline 14 September. More details: ru.nl/en/working-at/…

We have two openings for PhD candidates in our group! Come work with Faegheh Hasibi at Radboud University, co-supervision from The IRLab at the University of Amsterdam. Awesome opportunity to get into the Dutch IR community. Also good NL PhD life is one of the best: good pay, vacation hours, benefits, etc.😄

Great to see this work from Lauren Forbes Jennifer Love and Yuliya Shapovalova as part of our collaboration with @MagnusRattray published! RNA-seq, mathematical modelling and imaging ⬇️🧬🧮🔬

Our institute has five open positions at different levels (assistant/associate/full professors), broadly advertised for computing sciences. Great environment to work in! ru.nl/en/working-at/…

Registration for Gaussian Process Summer School, 2023 open until 31st July. gpss.cc/gpss23/registr…

Our paper, titled "Improving Precipitation Nowcasting for High-Intensity Events Using Deep Generative Models with Balanced Loss and Temperature Data: A Case Study in the Netherlands”, has been accepted for publication @AMS_AIES. (Yuliya Shapovalova, Kiri Whan)

It's great to see this paper published; congratulations, and big thanks to all the co-authors!

Great positions to do some interesting computational modeling!

Holidays, besides climbing mountains, means catching up on reading in beautiful surroundings with one cup of coffee too many. Very much enjoying "The Atomic Human" by Neil Lawrence.

Teaching "Machine Learning for Time Series" at Radboud Summer School this June! We'll explore forecasting, anomaly detection & pattern recognition for sequential data. Dates: June 23-27, 2025. ru.nl/en/education/e… #MachineLearning

New lectures on Markov chains this week. There will be a lag in encoding video, but slides are here: speakerdeck.com/rmcelreath/sta… And I made a blog post to highlight the MCMC animations: elevanth.org/blog/2017/11/2…