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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of
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-free inference, normalizing flows, flow matching or diffusion models is meriting. Experience in particle physics, in particular with collider simulation tools (e.g., MadGraph, Pythia, Delphes
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, at SciLifeLab Umeå as work place. Project description Umeå University is recruiting a staff scientist to work with advanced 3D image analysis of electron microscopy data, tomography, cryo-EM, SEM generated image
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– protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence