We are launching a new DPhil (doctoral) training programme in Engineering Biology! Next application deadline 1st March 2024. Come join us! @oxengsci#Engineering#Biology#PhD https://t.co/7OeUb05Vap
I will be looking for a postdoctoral researcher to work on the mathematics and control theory relevant to engineering biology - post will be advertised soon! Current positions open can be found on our website at https://t.co/MmME14x4mS
🚨Come join our new @EEBioPG project spanning @UniofOxford, @imperialcollege, and @BristolUni to tame biological complexity using control engineering and tackle global challenges.🦠🛠️ Several posts available across the project. More info at https://t.co/02SwHKuZ0M #synbio
We are currently hiring for a Senior Postdoc in Biotechnology/SynBio, and a Senior Mechanical Design Engineer to join our team at the University of Oxford to work on an exciting international collaboration developing new technologies to characterise and predict AMR.
*PhD Funding* We are advertising a PhD studentship to work on interdisciplinary challenges in Synthetic Biology, Robotics, and Control/AI! Happy to answer any questions and discuss what we are doing with anyone interested. #synbio
https://t.co/SoMbSkEMs6
New #JRSocInterface study investigates control schemes for biomolecular processes with two outputs of interest: https://t.co/Ql2WADI9MG @oxengsci@CompSciOxford
Big congratulations to @ManosAlexis1 for passing his PhD viva last week! It has been a pleasure to examine his work on biocontrollers supervised by @antonis_papach, and it's always nice to be in Oxford!
Great work by @St_Anastassov, @MauriceFilo, and @Ch_Hs_Chang showing how to engineer high dynamic-range integral feedback controllers using inteins to achieve robust perfect adaptation in mammalian cells!
Our paper on dichotomous feedback, which is a signal sequestration-based mechanism for implementing negative feedback in synthetic Biology is now out. @ManosAlexis1@synbioCDT@oxengsci
Happy to share the latest paper from my PhD with @VinoyOX@antonis_papach and @PooleLabOxford!
We used metabolic modelling and multiple omics datasets to understand lifestyle transitions of Rhizobium leguminosarum 🌱🦠
https://t.co/4OqoTtB8tR