That's because crucial NIH grant-review panels are slated to be empty at those institutes by Jan 2027.
A wonky bureaucratic problem with big implications.
A short 🧵
That's because crucial NIH grant-review panels are slated to be empty at those institutes by Jan 2027.
A wonky bureaucratic problem with big implications.
A short 🧵
First authors: @saracarioscia.bsky.social & @aabiddanda.github.io
First authors: @saracarioscia.bsky.social & @aabiddanda.github.io
Focus: Infectious diseases, host-microbe interactions, vaccines
Special interest: AI methodologies
📅 Deadline: Feb 9, 2026
👥 2-12 years post-PhD
Apply now 📝 research.pasteur.fr/en/call/crea...
#JobOpportunity #Research
Focus: Infectious diseases, host-microbe interactions, vaccines
Special interest: AI methodologies
📅 Deadline: Feb 9, 2026
👥 2-12 years post-PhD
Apply now 📝 research.pasteur.fr/en/call/crea...
#JobOpportunity #Research
⏰ One week left to apply – applications close Monday 19 January 2026.
➡️ Details and application information: tinyurl.com/59tjt7m2
⏰ One week left to apply – applications close Monday 19 January 2026.
➡️ Details and application information: tinyurl.com/59tjt7m2
New York showed up!
👏👏
(🎥Hands Off NYC)
New York showed up!
👏👏
(🎥Hands Off NYC)
sshrc-crsh.canada.ca/en/funding/o...
sshrc-crsh.canada.ca/en/funding/o...
1. Selection in early development; Pop gen methods applied to new technologies, i.e. scDNA-seq with D. Shao
2. Study of hypermutability and selection using population cohorts with E. Koch
3. Evolution of Mutagenesis with M. Penenell & @jgschraiber.bsky.social
1. Selection in early development; Pop gen methods applied to new technologies, i.e. scDNA-seq with D. Shao
2. Study of hypermutability and selection using population cohorts with E. Koch
3. Evolution of Mutagenesis with M. Penenell & @jgschraiber.bsky.social
Not even Plato can escape censorship at Texas A&M!
Not even Plato can escape censorship at Texas A&M!
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
Very worryingly we find that TWAS gets the sign wrong around 1/3 of the time (compared to 50% for pure guessing). You can read more about our analysis here, and what we think is going on 👇
In a new pre-print, we find that TWAS gets the sign wrong around 20-30% of the time!
doi.org/10.64898/202...
1/n
Very worryingly we find that TWAS gets the sign wrong around 1/3 of the time (compared to 50% for pure guessing). You can read more about our analysis here, and what we think is going on 👇
Led by amazing postdocs Emma Dann and Ronghui Zhu, with my wonderful collaborator Alex Marson.
Led by amazing postdocs Emma Dann and Ronghui Zhu, with my wonderful collaborator Alex Marson.
Apply here no later than February 11 2026:
https://lu.varbi.com/en/what:job/jobID:848749/type:job/where:4/apply:1
Apply here no later than February 11 2026:
https://lu.varbi.com/en/what:job/jobID:848749/type:job/where:4/apply:1
probgen2026.github.io
probgen2026.github.io