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collaborative project L2Bridge, which is supported during five years by a donation ( https://www.lu.se/artikel/storsta-donationen-till-lunds-universitet-i-modern-tid) from the Berta Kamprad Foundation
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responsibilities The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation
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areas Planetary Biology By combining SciLifeLab’s infrastructure and the data-driven life science approach with a focus on planetary biology, SciLifeLab create opportunities with strong impact on
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store any personal data. Functional Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party
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areas Planetary Biology By combining SciLifeLab’s infrastructure and the data-driven life science approach with a focus on planetary biology, SciLifeLab create opportunities with strong impact on
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description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous samples, lack of training data and sample variability. In this project we aim to develop AI
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mellan avancerad artificiell intelligens, stora samlingar av molekylära data och banbrytande bildtekniker för att kartlägga celler på en molekylär skala samt utveckla prediktiva AI-baserade
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SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) . Group members are enrolled in the national programs of SciLifeLab and DDLS, as well as the Wallenberg Centre for Molecular
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develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence microscopy, image analysis: Development of microscopes, fluidics, and data
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analysing bilayer properties from molecular dynamics simulation trajectories in silico. On the wet-lab side, the position involves generating both fluorescence and mass spectrometry data and optimizing