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The purpose of the research project is to identify factors that may undermine the trustworthiness of data and models used in human-robot interaction and further investigates common and specific trustworthiness
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according to an agreement. The application deadline is August 15th 2025. The research school for stress response modelling in IceLab Starting in the spring of 2025, Umeå University’s interdisciplinary
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st September, or as
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and 3D models as well as in ex vivo and in vivo models. Work tasks In vivo models: mice infection, mainly but not exclusively via gavage intraperitoneal injections necropsy paraffine tissue embedding
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planning and optimization tools for surgery and post-surgery units at Norrland University Hospital. Using statistical modelling and machine learning, we aim to create a digital twin of these units, which can
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conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs
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printing with concrete, and UMA will contribute by exploring new building design with biomass in the 3D printing process. Your primary tasks include: 3D modelling using Rhinoceros 3D and Grasshopper software
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visualization, as well as model validation, tuning, testing, and interpretation. The role also involves organizing training and joint activities in collaboration with other infrastructures in Sweden and across
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remote brain areas in vivo in animal models that underlie plasticity in the prefrontal cortex of mice. We will focus on neuronal micro- and macro-circuits that influence our feeding behavior, which
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering