Not to be confused with what I just posted, but there are *also* two other exciting positions open in the Image Analysis Unit at HT! Check it out as well. Spoiler: we will all work closely together to do awesome things! (Sometimes you can't even tell the difference between us)
πππ
Posts by Jan Funke
π¨π¨π¨JOB ALERTπ¨π¨π¨
The Image Analysis Unit at Human Technopole in Milan is recruiting for two positions to join our growing team:
1) Bioimage Analyst
2) Research Software Engineer (RSE)
Read on to learn why one of these two people should be you!
We are hiring a Software Engineer who can help us turn our methods into easily usable tools for:
* Explainable AI
* Cell Tracking
* Interactive Learning
...and some more: careers.humantechnopole.it/job/Research...
Feel free to reach out directly if you are interested and/or have questions!
The Human Technopole brings together the expertise, infrastructure, and compute needed to develop AI across biological scales and data modalities. Below a π§΅ that explains what we have in mind.
We are just getting started and are keen to hear from people who want to help shape our vision!
We opened 4 PhD positions at @humantechnopole.bsky.social together with Polimi (see π).
My lab offers a PhD project on "Computational Morphogenesis": use state-of-the-art machine learning methods together with realistic simulations to build digital twins of developing tissue.
Apply by March 26.
Join us in building foundational datasets and models for microscopy with @jakobtroidl.bsky.social and many others
AI Engineer Pre-Training: lnkd.in/eyEEV5nm
AI Engineer Post-Training: lnkd.in/eShVQ3y9
Data Engineer Data: lnkd.in/eCvm58xH
Data Engineer Pipelines: lnkd.in/ec6qGJkX
ai.hhmi.org
Last call! This is a great opportunity for those interested in learning and applying SOTA ML/DL models to microscopy data with the leading experts in the field.
Personally super excited to be a lead TA along with the amazing @afoix.bsky.social and @edhirata.bsky.social!
Hope to see you there :)
Thanks Damian! I really appreciate your help in navigating the complexities of an international move. Can't wait to hang and work with you!
Thanks Anirban! Can't wait to see you all soon! :)
π In January, I will join the new "Multimodal AI Across Scales" research area at the @humantechnopole.bsky.social in Milan π
More soon, but for now: my lab and the new area will have postdoc, RSE, and PhD positions available.
Feel free to reach out if interested!
humantechnopole.it/en/research/
Today I departed from @hhmijanelia.bsky.social knowing that the next time I come here, I will be a visitor.
Thank you all for having me. I will miss you a lot.
This course is organized by @computingnature.bsky.social, @mattersoflight.bsky.social, and @janfunkey.bsky.social; together with an excellent team of TAs lead by @afoix.bsky.social, @edhirata.bsky.social, and @albertdm.bsky.social.
Reach out to any of us if you have questions about the course! :)
We moved the AI@MBL course "Deep Learning for Microscopy Image Analysis" to HHMI Janelia (@hhmijanelia.bsky.social).
Join us for two weeks of intense lectures, exercise, and hands-on project work!
Course dates: June 4-18 2026
Application by: January 15 2026
www.janelia.org/you-janelia/...
What an incredible trackathon! After two weeks of intense discussions and happy coding (and a lot of groundwork beforehand by @msschwartz21.bsky.social and Caroline Malin-Mayor), this lovely community emerged with a Graph Exchange File Format that is ready to use! Congrats, everyone! π
E11 Bio is excited to unveil PRISM technology for mapping brain wiring with simple light microscopes. Today, brain mapping in humans and other mammals is bottlenecked by accurate neuron tracing. PRISM uses molecular ID codes and AI to help neurons trace themselves.
Read more: e11.bio/blog/prism
We are looking forward to receiving your applications by April 30. Feel free to reach out to any of us with questions you might have!
www.mbl.edu/education/ad...
We have generous support from @hhmi.org and @cziscience.bsky.social to provide financial aid. If you have doubts that your institution can pay for you, apply anyway and indicate that you seek financial aid.
If you get selected (admission is need blind), we'll be working with you to find a solution.
...
* Jan Funke @janfunkey.bsky.social
* Martin Weigert @maweigert.bsky.social
* Shalin Mehta @mattersoflight.bsky.social
* Virginie Uhlmann @virginieuhlmann.bsky.social
Meet this year's faculty:
* Alexander Krull
* Anna Kreshuk @ilastik-team.bsky.social
* Constantin Pape @cppape.bsky.social
* Diane Adjavon @adjavon.bsky.social
* Florian Jug @florianjug.bsky.social
...
All you have to bring is a good understanding of python π, enthusiasm to learn with fellow participants, sunscreen ποΈ, and... your own π¬ data to work on!
π Our TAs will help you in the second week of the course to apply what you learnt to your data!
During 14 full days, we will have ample time for lectures, exercises, discussions, and project work.
We will introduce you to deep learning and its applications to image denoising/restoration/translation, semantic and instance segmentation, object detection, tracking, and more!
How can AI help you to analyze your microscopy images?
Find out at the "Machine Learning for Microscopy Image Analysis" course at the @mblscience.bsky.social in Woods Hole from Aug 22-Sep 6!
Applications are due π¨ April 30 π¨
Read on for more! π
www.mbl.edu/education/ad...
βΌοΈπ¬ We start!!! ππ€
Super exciting!!! After years of teaching courses for #DeepLearning for Microscopy and Life Science application, we start today our first βadvanced courseβ @embl.org!
#EMBLDeepLearning
How can we use machine learning to find subtle patterns in our data and have them visualized?
Read the thread below to find out how!
Or head to @adjavon.bsky.social's blog post and let Simon the duck walk you through it (like a duck of course): tinyurl.com/yy7csdcd
www.biorxiv.org/content/10.1...
A blue sky
METAR BSKY 181910Z AUTO VRB06KT 10SM CLR 18/03 A2983
(I do like a blue sky βΊοΈ)
Good to see you all again.
π Excited to share our paper has been accepted at #NeurIPS! π We developed a deep learning framework that infers local learning algorithms in the brain by fitting behavioral or neural activity trajectories during learning. We validate on synthetic data and tested on πͺ° behavioral data (1/5 π§΅)