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scale models that visually communicate design concepts and enable collaboration with graphic designers and media teams. Design exhibitions with the understanding that many will travel to other locations
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offerEmbedding within a computational team, with extensive experience in computational biology and
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global climate action through modelling and data-driven Antarctic research 3 year fixed-term full-time role based in Hobart with relocation assistance considered About the opportunity We are looking for a
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/ climate, risk engineering, data & AI (modelling, simulation, decision support), GIS and spatial analysis, analytical chemistry or toxicology, risk economics / management, law & governance, regulation
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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assess the biological response to environmental changes in the ocean (e.g. global warming and acidification) and to predict the future capacity of the ocean to absorb carbon using numerical modelling
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Greek and/or Roman archaeology. Preference will be given to candidates whose work demonstrates strong engagement with digital archaeological methods, including (but not limited to) 3D modeling, spatial
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, reproduction, and development. They use cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal
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). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. You will have an opportunity to apply the AI/machine learning algorithm to tissue
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• Application Deadline: Evaluation of applications starts January 15th, 2026 until filled Recent advances in high-throughput technologies for single-cell analysis, including single-cell transcriptomics, spatial