Divya Naradasu

211 posts

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Divya Naradasu

Divya Naradasu

@electricigen

RS Newton fellow at Oral Microbiology @superstreps, Bristol @BristolUni | JSPS fellow @Akihiro_Okamoto | Ph.D. @UTokyo | #Electromicrobiology #oralmicrobes.

Bristol, United Kingdom Katılım Mart 2017
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CRISPR News 🧬
CRISPR News 🧬@CRISPR_News·
CRISPR history part 1/24: 1987: Short, unusual DNA repeats are observed in Escherichia coli bacteria by Ishino et al. in Japan. These are later named CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats), but their function is unknown at this point.
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Taj Hotels
Taj Hotels@TajHotels·
Words fall short today. Mr. Ratan Tata's profound humanity and selfless compassion shall always inspire us. He will forever be remembered as our beloved mentor.
Taj Hotels tweet media
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Science News
Science News@ScienceNews·
One of the most common bacteria in dental plaque is Corynebacterium matruchotii — and it has a unique form of cell division, splitting into as many 14 cells at a time. sciencenews.org/article/bacter…
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Nick Jakubovics
Nick Jakubovics@NickJakubovics·
Shocking to see this analysis, neatly summarised by @wellcometrust based on data from @royalsociety. International collaboration and team working is critical for high-quality research. The UK will miss out if these massive barriers remain.
Wellcome@wellcometrust

New analysis from the @royalsociety shows just how high UK visa costs for researchers are compared to upfront costs for similar visa routes in 13 other countries. Here, we take a look at how the UK compares to countries in the G7 included in the analysis 🔍⤵️ 1/5

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Tom Dudding
Tom Dudding@dudders1986·
@Brisdental thanks @electricigen for fab talk. Not just dentistry on show here! Hearing about how bacteria can be used to both clean waste water and generate electricity at the same time and uses similar processes that oral biofilms possibly using the to thrive. @BristolUni
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Michael Baym
Michael Baym@baym·
Here's the thing about AI in biology: it absolutely has revolutionary potential, but any model is only as good as the data it's trained on. And there's a lot we don't know or are simply wrong about in bio. Want to truly build AI for bio? Invest in basic discovery science.
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Hugh Kearns
Hugh Kearns@ithinkwellHugh·
Really scary!!
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Keşfet

@superstreps @ACRC_UK @BB_STEM @LeadingRoutes @BWiSNetwork @thewisecampaign @Stemettes @CMMBristol