Sara-Jane Dunn retweetledi
My team at Deepmind (protein design) is hiring an experimentalist with enzyme expertise. Please RT and/or apply! I'm happy to answer any questions as well. boards.greenhouse.io/deepmind/jobs/…
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Sara-Jane Dunn
488 posts
Sara-Jane Dunn
@EssJayD
Research scientist at Relation Therapeutics. Interested in what cells compute. (A little twitter shy, but any comments my own.)
Cambridge, UK Katılım Mayıs 2013
417 Takip Edilen1K Takipçiler
Some exciting professional news; I’ve been promoted to professor of computational cancer biology! ucl.ac.uk/human-resource…
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Sara-Jane Dunn retweetledi
Now with correct link to the job details!
LSI Exeter@LSI_Exeter
Available immediately a Postdoctoral Research Fellow to lead a programme of computational modelling and ‘omics analysis of the regulatory network dynamics of mammalian pluripotency, within Professor Austin Smith's Group. jobs.exeter.ac.uk/hrpr_webrecrui…
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Sara-Jane Dunn retweetledi
I had an incredible time chatting with @Avsecz, a brilliant mind at @GoogleDeepMind, for our Superbio.ai Scientist Spotlight series.
blog.superbio.ai/superbio-scien…
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Sara-Jane Dunn retweetledi
New scRNA-seq analysis platform from Arthur Radley
Branching topology of the human embryo transcriptome revealed by entropy sort feature weighting biorxiv.org/content/10.110…
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Sara-Jane Dunn retweetledi
We seek a Research Fellow in Computational Biology to join our team at the @unisouthampton . I would be happy to chat with anyone interested in the position about the role, project, or environment we create for you to work in. jobs.soton.ac.uk/2462523BJ
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Sara-Jane Dunn retweetledi
We're hiring a research scientist to join our Quantum Chemistry and Materials team ⚛️🚨
The team is working on using machine learning to better our understanding of the universe, down at the level of quantum physics.
See: deepmind.com/blog/simulatin…
Share: boards.greenhouse.io/deepmind/jobs/…
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Surprised, delighted, and overawed to be elected an International member of the American Academy of Arts & Sciences @americanacad
A huge honour, made even more so by the inspiring accomplishments of the other new members
American Academy of Arts & Sciences@americanacad
Congratulations to our new members! Just announced! We are honoring the excellence of extraordinary leaders in an array of disciplines and professions. The first members were elected in 1781. Learn who was elected in 2023: amacad.org/news/2023-memb…
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Sara-Jane Dunn retweetledi
Check out this months issue tinyurl.com/vpc8hj76 a special edition on computational systems biology guest edited by @cahanLab & @TreutleinLab. The issue features articles by @morris_lab @EssJayD @OwenRackham @delSolLab & others. @ISSCR @martinperaJAX
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Proud to see the work of an excellent PhD student, Arthur Radley, now published in @stemcellreports - a cool method to do feature selection in single cell data mitigating noise cell.com/stem-cell-repo… Work together with Austin Smith, Elena Corujo-Simon and Jenny Nichols
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@Kit_Yates_Maths Yup, haven’t had it. (That I’m aware of - and I do test if unwell.)
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I was beginning to think I might be the only one.
Anyone else out there never had covid?
theguardian.com/commentisfree/…
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Sara-Jane Dunn retweetledi
Thrilled to announce the launch of a new Alphabet company @IsomorphicLabs. Our mission is to reimagine the drug discovery process from first principles with an AI-first approach, to accelerate biomedical breakthroughs and find cures for diseases. Details: isomorphiclabs.com/blog
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Sara-Jane Dunn retweetledi
Happy to see Nature Methods publish our team’s work on using AI to improve prediction of how DNA sequence influences gene expression. Our first step in research on improving understanding of the fundamental building blocks of life.
Google DeepMind@GoogleDeepMind
Published today in @naturemethods together with colleagues from @calico: Enformer - a transformer model that has led to greatly increased accuracy in predicting gene expression from DNA sequence. Blog: dpmd.ai/enformer Paper: dpmd.ai/naturemethods_… 1/
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Sara-Jane Dunn retweetledi
Big day for team #AlphaFold! The human proteome & the 20 organisms we are sharing today have been the subject of countless research papers & breakthroughs over time. By sharing this foundational resource, we hope to aid many more scientists in their work; present & future!
Google DeepMind@GoogleDeepMind
Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/
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Sara-Jane Dunn retweetledi
Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/
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Sara-Jane Dunn retweetledi
Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon!
bit.ly/alphafoldmetho…
bit.ly/alphafoldgithub
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Sara-Jane Dunn retweetledi
🤖 Want to come join my lab @BristolBioSci as a Research Technician for 8-months and program our OT-2 robot for all things #synbio and @nanopore sequencing? Well, if you're a creative, synbio-curious Python programmer, here's your chance! Pls RT jobs.ac.uk/job/CGI583/spe…
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@mincle Ah yes, didn't mention this so thanks for asking. You don't need complete data - you can have partial constraints (e.g. only a few of the genes measured) and the solver will apply what is told must hold.
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@mincle We used correlation to identify possible interactions, but that's not the only approach. General (not v. exciting) rule of thumb: the more possible interactions, the more constraints you'll need to reduce the uncertainty to the point where you have a predictive set of models.
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@mincle It's a tricky qus to answer as really it depends on the number of possible vs definite interactions, and then how much 'diverse' behaviour the constraints capture (e.g. perturbations that elicit different dynamics).
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