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Field
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postdoctoral and PhD researchers on the team*Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning (ML) modelsSalary and full employee benefits are offered in accordance
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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: Implement and adapt video transformer architectures for sign language processing Spatial Grammar Modeling: Create techniques to represent 3D spatial grammar unique to sign languages Domain Adaptation: Apply
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background and interests. Candidate Profile We are looking for candidates who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial
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-based modeling, and multi-omics analytics, including bulk, single-cell, and spatial transcriptomics, to uncover molecular mechanisms in cancer, immunology, and more. With a strong translational focus, the
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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using mouse models for neurodevelopmental disorders and brain inflammation. Run spatial omics approach including multiplexed protein imaging and transcriptomics. Collect and analyze data from genome-wide
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) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing decision-support tools for sustainable and inclusive urban environments. Key
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1st October 2025 Languages English English English Postdoctoral researcher in ice sheet modelling Apply for this job See advertisement About us The Department of Climate is part of the NORCE Climate