🚨 PhD candidate wanted! 🚨.We are looking for a talented computational scientist to join our thriving research team and work on clinical applications. Are you ready to apply your computational skills to make an impact on patient care?.Apply now:

Only 2 weeks left! ⏰. Don't hesitate and apply now for our Computational Cytometry Summer School if you want to know more about quality control, batch effect correction, clustering and statistical analysis of cytometry data 💡. Link below ⬇️.

We are thrilled to announce that SaeysLab is now officially a member of the EuroFlow Consortium! Through this collaboration, we will contribute to standardization of clinical cytometry workflows and data analysis (because we love consistent, accurate and reproducible results 😉).

It's happening again! 🤩.Join us for a hands-on program designed for those interested in advancing their skills in computational cytometry data analysis. Find the program and apply here: #CompCyto2025.🙏 to our sponsors @SonyBiotechInc and @BDBiosciences

Final day of our SaeysLab conference! 👨‍🏫.Fascinating week where each subteam got to share their expertise with the other lab members: from cytometry over scRNA-seq to spatial omics. The machine learning team will top it all off with explainable AI and dimensionality reduction 🍰

RT @YvanSaeys: What does the future of spatial omics data processing pipelines look like ? Meet Sparrow, our new human-in-the-loop interact….

RT @YvanSaeys: Honored to have received a CZI grant for further developing the cell-cell communication models of the future, together with….

RT @MartinGuilliams: @LottePollaris presenting the Sparrow pipeline. Fantastic collaboration between @saeyslab, @KC_DC_01 and our lab. Auto….

🚨Bioinformatician/Software Developer🚨.We are looking for a dynamic individual to further develop cutting-edge bioinformatics tools! Sounds like that's something for you? Contact us! 💻.

🚨PhD student (2/2)🚨.You want to be at the forefront with us in spatial omics research and you are looking for a PhD position? We are looking for someone to integrate the spatial omics data generated by different technologies to develop new insights! 🧑‍💻.

🚨 PhD student (1/2) 🚨.Did you obtain your master's degree and you are interested in cell-cell communication and developing new computational tools? Let us show you the wonderous world of NicheNet and spatial omics! 🤯.

🚨Postdoctoral fellow🚨.We are looking for someone to aid in developing novel computational methods for spatial biology with a focus on the healthy and diseased liver. Are you ready to be the key link between multiple researchers and to mentor your own PhD students? 🧐💻.

🚨Spatial enthousiasts wanted 🚨.You have a passion for spatial omics and you want to work in a thriving research environment? .We are looking for a Postdoc, 2 PhD students and a software developer to join our team. Have a look at #SpatialOmics24.

We celebrate the end of our three-day 🚀hackathon🚀 on spatial omics tools and methods in #Ghent #Belgium. A big thanks to all of the researchers across Europe. Check out our final slide deck and code! #SpatialOmics24

Powering up for Day 2 of spatial omics hacking with our nice new @_VIB_AI coffee mugs #CoffeeToCode #SpatialOmics24 #FlandersAI

Our @VIBLifeSciences hackathon on spatial omics has 🚀 liftoff 🚀 ! 37 researchers of 30 institutes from 12 countries, coming together 3 days to create new tools and methods. #flandersai #SpatialOmics24

👇Our paper is now peer-reviewed and published in @eLife! We've also added a new case study on a Visium dataset of mouse melanoma. 📄 Read here: 💻 GitHub repo:

Proud to present our work at #SIAMIS24. We show that classical compressed sensing techniques can be used to obtain a defense against adversarial perturbations that is not only very efficient but also has nice interpretable robustness guarantees. 💻🎆🙌

🚨New paper published!🚨 We investigate 10 different quality metrics for attribution-based explanations on 8 image datasets, and use the results to propose a set of benchmarking guidelines. Read all about it here:

Interested in clustering cytometry data with FlowSOM, but not so fond of R?.Check out Artuur Couckuyt's paper on translating FlowSOM to Python here: