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scverse.bsky.social
scverse
@scverse.bsky.social
Foundational tools for omics data (mostly in python).
For more information, check out their website (singlerust.com) and preprint (www.biorxiv.org/content/10.1...) !

Zoom registration link for the meeting: lnkd.in/dZpbKKsY
January 15, 2026 at 11:32 PM
We’re looking for someone who:
• Communicates clearly
• Enjoys open-source collaboration
• Has scientific/computational background
• May have design or social media skills

📍 Munich or remote
🕒 Part- or full-time
🏢 Helmholtz Munich / Theis Lab
💡 TVöD up to E13
December 12, 2025 at 7:43 PM
You’ll help:
• Coordinate our international community
• Host meetups + support workshops, hackathons, conferences
• Communicate releases & community milestones
• Contribute to visual identity and outreach
• Support sponsorships & training materials
December 12, 2025 at 7:43 PM
BioContextAI: Biomedical Model Context Protocol servers for composable agentic systems.

For more information, check out their website: biocontext.ai and publication: nature.com/articles/s41...

Zoom registration link for the meeting: lnkd.in/dZpbKKsY
November 24, 2025 at 4:39 PM
BioContextAI: Biomedical Model Context Protocol servers for composable agentic systems.

For more information, check out their website: biocontext.ai and publication: nature.com/articles/s41...

Zoom registration link for the meeting: lnkd.in/dZpbKKsY
November 19, 2025 at 2:56 PM
For more information, check out their documentation: sccellfie.readthedocs.io Meeting Zoom registration link: lnkd.in/dZpbKKsY
November 10, 2025 at 3:16 PM
scCellFie is a computational framework that infers metabolic activities from both single-cell and spatial transcriptomic data, enabling large-scale, interpretable analyses across cell atlases.
November 10, 2025 at 3:16 PM
📅 November 17-19, 2025 at Stanford University, California
🏛️ Format: 2 days of main conference + 1 day of satellite workshops across the Bay Area
ℹ️ More info: scverse.org/conference2025
Register: buff.ly/18KAUfpSubmit
Abstract: buff.ly/5nboSpt
November 6, 2025 at 3:59 PM
Elham Azizi, Associate Professor of Cancer Data Research and Biomedical Engineering at Columbia University will be talking about her work using machine learning to decode the tumour microenvironment!
November 6, 2025 at 3:59 PM
Please note that remote attendance is available for the first two days of the conference (November 17th and 18th) only and does not include access to the workshops on the third day (November 19th), which are exclusively for in-person participants.
November 6, 2025 at 4:14 AM
For more information, check out their documentation: sccellfie.readthedocs.io

Meeting Zoom registration link: lnkd.in/dZpbKKsY
November 5, 2025 at 4:39 PM