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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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balance. Place of work and area of employment The place of work is Universitetsbyen 81, 8000 Aarhus C, Denmark, and the area of employment is Aarhus University with related departments. Contact information
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Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system performance
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/or eating disorders, data analysis and statistical modeling. Prior experience working with Danish registers is an advantage. As a person, the ideal candidate will have good interpersonal skills, will
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to research on food systems that results in relevant and positive societal impact (for more information see www.mapp.au.dk ). The research project CIRCULARIS – Circularity Indicators and Resource Circularity
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
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strategies and market positioning. Job description The successful candidate is expected to contribute to the overall objectives of the project by being involved in design, implementation, data collection, and
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The Department of biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of developmental neuroscience as per 1 January 2027 or as soon as
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded