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; Experience with (statistical) data analysis; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in
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household and firm surveys (carried out by another team member) and other spatial and physical climate risk data. The goal of this agent-based modeling is to identify conditions under which risk contagion
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» Applied mathematics Mathematics » Statistics Technology » Energy technology Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 11 Jan 2026 - 22:59 (UTC) Type of Contract
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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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students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS
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managing both spatial and temporal data, these developments will need a close interaction with researchers working in the projects. Your profile We are looking for candidates who hold a PhD in Soil Sciences
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Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and redundancy in brain signals elicited by acoustic stimuli
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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will employ scattering theory to separate the effects of wave scattering and anelastic attenuation on seismic wave propagation. You will use state-of-the-art inversion techniques to image the spatial