Craig Gin retweeted
Source is hiring!
We have an exciting opportunity to join our team as a Recruitment Data Analyst to help our ⚽️clients.
Application Details 👇
srcftbl.com/recruitment-data…
Craig Gin retweeted
Source is Hiring!
Position: Data Engineer
SRC is looking to hire a Data Engineer to work on our Football⚽️ Intelligence platform
Job description & application details below!
srcftbl.com/data-engineer
Craig Gin retweeted
Out latest work led by @DavidHuangCZ1 is out on medRxiv: "Meta-Analysis Reveals the Vaginal Microbiome is a Better Predictor of Earlier Than Later Preterm Birth"
medrxiv.org/content/10.1101/…
Craig Gin retweeted
WATCH: 'Scientific Machine Learning: Physics-Informed Neural Networks' with @CraigGin
#DeepNeuralNetworks #ResidualNetworks #ColeHopfTransform #LinearisingTransforms
vimeo.com/688711607 @EjamJournal
Craig Gin retweeted
Our new paper uses deep learning to find coordinates to globally transform a nonlinear PDE to a linear PDE! Read about choosing a good architecture & diverse training data. Cautionary tale about extrapolation. W/ Craig Gin, @eigensteve, and Nathan Kutz. cambridge.org/core/journals/…







