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Field
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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2026 (there is some flexibility) The Jozwik lab studies visuo-semantic cognition combining cognitive science, neuroscience, and computational modelling. The lab’s research has focused on probing specific
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experience EXPERTISE *Expertise in one or more of the following research areas: computational modelling, reasoning and knowledge representation, behaviour change technology, human-centered AI. *Standing out
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—but are challenging to analyze. The project aims to move beyond black-box prediction by learning low-dimensional latent representations that capture these underlying physical processes. Examples
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, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables
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strong knowledge in at least two of the following research directions: statistical signal processing, e.g., detection theory and estimation theory; signal compression & sparse representations, e.g
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. The project focuses on developing novel representation learning and generative modeling methods to construct a unified cellular morphology state space across heterogeneous datasets. By leveraging shared
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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the representation of women in research, building research and clinical capacity, and rapidly translating findings into practice through integrated knowledge mobilization. “The ultimate goal is to train top-tier
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of transferring the knowledge acquired by a model trained on a source domain (for example, high-resolution images from the Bessans site) to a target domain (for example, webcam images or other mountain sites