Top Tweets for #CompBio
Apache 2.0, open source:
https://t.co/AU5FCZUWPM
#GoogleCloud #opensource #AgenticAI #MultiAgent #DrugDiscovery #TechBio #Pharma #Biotech #LifeSciences #AIforScience #Oncology #GenAI #AIAgents #DataSharing #BioPharma #MachineLearning #CompBio #HealthTech
@Shengchao_Liu Congrats on DuetRNA! Giving the base and the sugar their own frames is such a thoughtful step for RNA co-design. Really cool work ๐งฌ #AI #CompBio
https://t.co/uX6ksM0JVO
code๏ผ
https://t.co/TQ4wbe6Ntp
https://t.co/6eqHC0UCUw
website:
https://t.co/uSk5ltGAMy
https://t.co/C1WZ4ub9b1
#RNA #MachineLearning #compbio #bioRxiv #AI4Science #genomics
Hiring! 2 #PhD positions on digital twins of embryonic development @ETH (Basel).
๐งฌMathematical modelling of biology https://t.co/T3rac7skoO
๐ปComputing: parameter estimation (incl. PINNs), simulation environments https://t.co/Yd3r4L622U
RT appreciated!
#PhD #CompBio #Embryology
Prot-LAMBDA: a protein language model taught to reason in 3D, reportedly matching one 5x its size. Efficiency over scale. Read the breakdown. #ProteinAI #ESMFold #CompBio
https://t.co/ie3yXB1Z1B
New from the Bulletin of Mathematical Biology:
MathBioNexus is an open seminar series connecting researchers at the intersection of mathematics and the life sciences.
Learn, Connect, Discover.
๐ https://t.co/lstlmIJUtR
#MathBio #MathematicalBiology #CompBio #AcademicResearch
Barak Lab at Yale is hiring a postdoc in computational biology/bioinformatics focused on cerebrovascular genetics + multiomic analysis (genomics, single-cell, spatial). Rolling applications. Details attached. Please share! #Postdoc #Bioinformatics #multiomics #compbio
At #ICML2026? Swing by our poster @genbio_workshop in Hall A, presenting a flow matching framework for learning continuous-time tissue remodeling dynamics, and the cellโcell interactions driving them, from spatial transcriptomic snapshots.
#AI4Science #BioML #Genomics #CompBio
Don't miss the 22nd Student Council Symposium! #SCS2026 is happening on 12th July 2026. Join us in-person in D.C. or virtually from Anywhere! ๐
๐ค Keynotes: @benjraphael , Laura Elnitski
๐ฌ Panel: AI Models to Medicine
Register Now! ๐ https://t.co/MU52TtA23L
#CompBio #AI
Cancer dependency and drug response are usually modeled separately. Why? FORGE learns one latent space from DepMap expression data to predict gene dependency + drug sensitivity, integrating both into a Benefit Score. #CancerAI #CompBio #Bioinformatics @NCCN
@DBTIndia
@ICMRDELHI
ืืื ืฉืชืืื ืขื ืืงืฉืจ ืืื ืืืคืคืื, ืคืื ืื ืกืจืืืื, ืืคืกื ืฉืืื ืืฉืืื ืฉืื ืืืืชื ืืืจืฆืื ืฉื @the_yaniv ืืชืืชื, ืฉืืชืืจื ืืืื ืืฆืืช ืืคืจืืืืงืืื ืฉื ืชืืืืื ืืืืืจ ืฉืื ื ืืืืืืืืื ืืืฉืืืืช, ืืกืืคืจ ืื ื ืขื ืืืจืื ืืืคืืืื ืืืฃ ืืืขืืืื ืฉืืคืฉืจ ืืขืฉืืช ืขื ืื ืดื ืื ืจืง ืื ืกืื ๐งฌ
@HebrewU #compbio
On my way to the 2026 International Society of Quantum Biology and Pharmacology (ISQBP) President's meeting in Cluj, Romania to present our latest results on the #FeNNix-Bio1 foundation #machinelearning model. #compchem #compbio
https://t.co/h3lrX0CEPf
New in @MolSystBiol: Hydra, interpretable ensemble deep learning for rare cell type analysis. #SingleCell #CompBio. Led by
@manojmwagle from MIT/Broad placement, growing into collaboration with @manoliskellis & co-supervision with @TheEllisPatrick. https://t.co/frXc9KaJrl
Please join us in welcoming our 2026 summer interns across CBSP (#CompBio), ChBSP (#ChemBio), EISP (#Engineering #Imaging), MBSP (#MechanisticBiology), IRSP (#Immunology), & #MSKEngage programs. We are excited to welcome this yearโs cohort!
@yfortiss @JulieNadel @GSKGradSchool
#compchem #compbio First day of the 8th Tinker developer meeting. First talk by Sameer Varma @Varma_TCBgroup: "Advances and challenges in force fields for describing charged species in solution "
https://t.co/ru4d3x2DqS
Omics Nexus presents a 3-day hands-on workshop to learn scRNA-seq workflows from data processing to cell type annotation & differential expression analysis.
๐ฅ Early Bird Discount available till 31 May!
Register: https://t.co/BOcsCCFnSa
#scRNAseq #Bioinformatics #CompBio
๐ฃ The UCLA Tanigawa Lab is recruiting! ๐
๐งฌ Postdocs โ start date flexible
๐ Funded PhD positions โ Fall 2027
We study #disease #heterogeneity using #computational & #statistical approaches. Come join us at UCLA โ๏ธ๐ด
#AcademicJobs #CompBio #StatGen #Genetics #HumanGenetics
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