Andreas Mardt

Deep Learning for Microscopy Image Analysis Topics The following will be covered extensively during lectures, exercises, and project work: Image denoising and restoration (fully supervised and self-supervised) Image translation (e.g.,

🚨 Alarm!!! 🚨
AI/ML course for microscopy image analysis!!! 🧐
In 2026 at Janelia (@hhmijanelia.bsky.social), no tuition, housing and meals provided! Isn’t that borderline unbelievable?!?

20 students, ~14 TAs and lecturers
🗓️ June 4-18 2026

✍️ Jan 15 2026 ✍️

🔁 pls!!

www.janelia.org/you-janelia/...

New course alert: 3D Data #Visualization!

Bring your volumetric data to life with tools like Fiji, Blender & Neuroglancer.

📅 Nov 10–13, 2025
📍 On-site, Berlin

Free & open to individuals affiliated with @helmholtz.de or a HIDA partner

Register now 👉 events.hifis.net/event/2781/

#imaging #3D

Spread the word - we at @stanford-chemh.bsky.social are searching to fill a new junior faculty at the interface of molecular and computational science. See link below!

Image by Klas Ove Möller from Hereon

We’re hiring in Berlin!

Join the #AqQua Project and help transform our understanding of aquatic ecosystems.

We’re looking for a PhD student, PostDoc, or Research Software Engineer to join our interdisciplinary team of AI & domain experts.

Apply by 25/4 👉 helmholtz-imaging.de/news/open-po...

Decorative image to promote HI Projects.

Big ideas, strong collaborations, real impact!

We’re putting the spotlight on our 35 #HelmholtzImaging Projects that push #imaging science forward.

💡 Got a great idea? Next call opens May 2025!

Get inspired & discover how we will support you along the way: bit.ly/HI-Projects-Pulse-of-Imaging

Registration for the #HIConference25 is OPEN! 🙌

Join us June 25-27 in Potsdam to explore cutting-edge #imaging research, connect with experts & colleagues, & present your work!

🔗 Register now: bit.ly/HIConf25
📅 Abstract deadline: May 1

#imaging #imagingscience

Check out the paper arxiv.org/pdf/2411.07097 and code github.com/Kainmueller-... or if you at #neurips check out their poster! This work was led by Vanessa Guarino, Jannik Franzen, Claudia Winklmayr, and Christoph Karg.

Vanessa Emanuela Guarino on LinkedIn: #syntheticdata #medicalimaging #uncertaintyquantification #ai #neurips2024 🪷 Very excited to present Arctique: a breakthrough in uncertainty quantification for medical image segmentation Uncertainty quantification is the unsung hero…

Great work from my colleagues at #MDC, also accepted at #neurips, providing a synthetic dataset of 3D Tissue slices which provides zero-shot performance on real H&E images. It further allows benchmarking uncertainty methods www.linkedin.com/posts/vaness...

Beyond ChatGPT: Foundation models for research Foundation models are complex AI applications with enormous potential. Trained on vast datasets from medicine, climate, or material science, they can uncover new relationships and make predictions. He...

Here is the correct link to learn more: www.mdc-berlin.de/news/news/be...

Such a special event! 🚀 The first Helmholtz Foundation Model Initiative Workshop was inspiring—diverse minds tackling Solar, climate, human radiome, & 3D carbon models. Excited for the results & future foundational models! 🌍 @jlrumberger.bsky.social and others
🔗 Learn more #HFMI #Foundational