We invite applications for #postdoc positions in @MatarLab to work on #CFD in #multiphase #fluiddynamics, featuring a collaboration with @turinginst @lloydsregister #datacentricengineering programme involving #machinelearning. Info: https://t.co/oYhmwcUOjR Contact: @OkMatar

On my way to attend the @dce_workshop at @MIT organised by @MarkGirolami 😊 @turinginst @dce_journal @ImperialChemEng #datacentricengineering #MachineLearning #AI

NEWS: World first as 3D printed steel smart bridge opens to pedestrians in #Amsterdam. The Turing's #DataCentricEngineering programme has been integral to its development, teaming up with @MX3D_AM and other collaborators #MX3DBridge #smartbridgeamsterdam https://t.co/UaO1S5cMNm

@MatarLab collaboration with @turinginst on #datacentricengineering, led by @RAEngNews Research Chairs @MarkGirolami & @OkMatar, prime example of #ThisisEngineering #thisisengineeringday @LR_Foundation @UKRI_News

Our #apsdfd Tuesday talks (2/3) Q34.8 #3D #DNS of falling & rotating films S09.8 #Design of #Savonius #rotors for #renewable #energy S19.3 #CFD of slug #flow in #subsea applications S34.2 Withdrawn S41.1 #MachineLearning for non-Newtonian #gelling - #datacentricengineering

On the use of #MachineLearning and #DataScience in #multiphase #fluiddynamics by @masonlr_ at #apsdfd @APSMeetings in collaboration with #datacentricengineering programme at @turinginst

Thank you @IChemE for the Bird, Stewart & Lightfoot Medal. 😊 https://t.co/wsigwvKbP3 @MatarLab @ImperialChemEng @turinginst @RAEngNews #fluiddynamics #multiphase #DataCentricEngineering #icheme

@masonlr_ shows us how to use #MachineLearning in classifying different #patterns in #polymer #precipitation at #APSDFD @APSMeetings #DataScience #datacentricengineering @turinginst

Azure training for Turing researchers, DCE, PhD students, for data science and AI on large scale engineering and societal problems @turinginst #datacentricengineering @LR_Foundation

New @EPSRC programme: #Predictive #Modelling & #CFD with #MachineLearning #AI & #Uncertainty #Quantification for #Multiphase #Systems in #energy #manufacturing #healthcare #DataCentricEngineering @ImperialChemEng @turinginst @ChemEngBham @uclchemeng @Cambridge_Eng @UKRI_News

thank you @IMechEevents for the invitation to speak at Simulation & Modelling 2023. Lots of interesting work and potential applications of computational statistics, uncertainty quantification and #DataCentricEngineering

Great start to the week! Bayesian Probabilistic Numerical Methods, a paper from the Probabilistic Numerics Group (#DataCentricEngineering Programme) has made the front page of @TheSIAMNews. Authored by @MarkGirolami Chris Oates, Jon Cockayne, T.J. Sullivan https://t.co/1ua8lYBpJ7

Listening to Chris Oates talk about #DataCentricEngineering @turinginst - computational statistics for making the world a safer place @MarkGirolami

Our #apsdfd Tuesday talks (3/3) S41.3 #3D #DNS of #mixing: aeration tanks & #food mixers S41.4 DNS of #fouling in #oilandgas S41.5 DNS of #turbulent #surfactant-laden #jets S41.8 #Activelearning for surrogate models in #CFD applications #datacentricengineering #MachineLearning

Next week! The next #DECWebinar 💻Machine Learning for Scientific Discovery 🎙️Steve Brunton → @eigensteve, @ME_at_UW, @UW 🗓️ Wednesday 7th December 2022 Register → https://t.co/NVM0TCuFJt #DataCentricEngineering #MachineLearning #ML #ScientificDiscovery

Fab talk by @masonlr_: #datacentricengineering approach #MachineLearning, #CFD & analysis of gel fraction #modelling in eccentric annuli #energy apps Collab: Matt Kutnar, Indranil Pan @turinginst & @CrasterRichard Paper for @dce_journal #activelearning #AI #apsdfd2019

We’ve launched a new open access journal for #datacentricengineering with @CUP_SciEng and @MarkGirolami https://t.co/rLNhJVt3bV

Happy #ThisIsEngineering Day 2020! When it comes to engineering @turinginst our focus is on #Data & #DataCentricEngineering. We’ll be highlighting a few projects to celebrate the diverse & far-reaching research taking place at the Turing. Read more: https://t.co/YxYfVFsbrH

@BP_UK & @EPSRC-funded 4-year #PhD available in @MatarLab on #hybrid #CFD & #MachineLearning in #multiphase #fluiddynamics Collab with @turinginst #datacentricengineering Start: by 1 October 2019. Details: https://t.co/POODvJ6nfM Contact: @OkMatar @ImperialChemEng @FindAPhD

👋Say hello to our newest editor - Professor Liang Gao from the Huazhong University of Science and Technology in Wuhan, China. @CambridgeUP @HuazhongUST #DataCentricEngineering #DataScience #OpenAccess