Deep Learning for Microscopy Image Analysis (EMBO-DL4MIA)
This 2024 edition of the HT course DL4MIA will be organised in-person at Human Technopole (Milan, Italy) with the contribution of the European Molecular Biology Organisation (EMBO). The goal of the EMBO-DL4MIA Practical Course is to familiarise researchers working in the life sciences with state-of-the-art DL techniques for microscopy image analysis, including (but not limited to) image restoration, segmentation, translation, registration, and tracking.
5-Days Full Immersion Training on Technology Transfer in the Life Sciences
Human Technopole’s Centre for Innovation and Technology Transfer (CITT), together with Netval and IUSS Pavia, organise a 5-days full immersion training on Technology Transfer in the Life Sciences. PROGRAMME Day 1 – 20 November (15.30-18.30) Innovation and “third mission” of research public organisations Case Study Coordinator: Riccardo Pietrabissa, Rector of the University School for […]
Building bridges between Italy and Japan
Human Technopole and the Association of Italian Researchers in Japan (AIRJ) are glad to announce the symposium “Building scientific bridges between Italy and Japan”, with the participation of the Japan Society for the Promotion of Science (JSPS). The symposium provides an overview of scientific exchange opportunities available in Japan to early stage researchers in STEM and other disciplines. Interested participants […]
Technology transfer for beginners: from scratch to millions
Human Technopole’s Centre for Innovation and Technology Transfer (CITT) organised a training course on the basics of technology transfer in the life sciences aimed at young researchers at the start of their academic career. Technology Transfer aims at translating inventions and scientific discoveries into new products and services that benefit society. The agenda of the […]
HT Deep Learning for Microscopy Image Analysis 2023
The goal of the course is to familiarise researchers working in life sciences with state-of-the-art deep learning techniques for microscopy image analysis, with a focus on image restoration and image segmentation. Our aim is to introduce tools and frameworks that will facilitate independent application of the learned material after the course. The following topics will […]
Previous page