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and with extrinsic toughening mechanisms in laminated composites, including fibre bridging and related phenomena. The overall aim is to develop models and tools that provide deeper insight into how
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The EvOmics group at Aarhus University is seeking a postdoctoral researcher to join an interdisciplinary project that combines plant genomics, artificial intelligence, and evolutionary biology. The
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. Expected start date and duration of employment This is a 1-year Post Doctoral position (37 hours/week) from 01.02.2027. Job description You will be contributing to the development of catalytic methods based
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correlated structural disorder controls transport and other functional properties in energy materials. The position is available from the 1st of February 2027 or as soon as possible thereafter. Project
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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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recognition events to colonization strategies. Within this framework, the advertised postdoctoral project is specifically focused on complex data analyses of plants for improved symbiotic associations with soil
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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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and duration of employment This is a fixed-term position for 3 years. Starting date 1 February 2027. Job description You will establish and develop functional screening pipelines to identify regulators
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duration of employment This is a 5-month position (30 hours/week) from 01 November 2026. Job description You will be contributing to the development of catalytic methods based on transition metal catalysis
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published in international peer reviewed journals. Understanding of the atmosphere and its modelling is essential. • Model development of WRF-Chem is complex. Documented experience using FORTRAN, C