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Post Doc position in transition metal catalysis and carbon capture Are you interested in combination of transition metal catalysis, and can you contribute to the development of materials for CO2
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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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with quantitative methods and data management have experience with programming, for example in Python, R, or similar have an interest in AI, generative AI, learning technology, or business analytics
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computer science and philosophy. The REMAX project on Rigorous Evaluation Methods for AI Explainability, funded by a Villum Synergy grant, aims to create methods for explainable AI and their rigorous evaluation. It
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statistics have been a key element in your work. Experience with data handling and flexibility in using a wide range of statistical methodologies, both frequentist and Bayesian. Demonstrated proficiency in
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initiatives (e.g. the International Polar Year 2032-33) Integrating novel tools and methods into research and advice to Greenlandic and Danish authorities, including AI-driven data analysis, process-based
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methods will relate regional imaging and binding measures to cell-specific gene expression and intracellular signalling. Experience with stress-related behavioural models, particularly chronic social defeat
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intelligence Develop efficient methods for maintaining reliable behaviour under changing environments, sensing conditions and resource constraints. Topics may include test-time and continual adaptation
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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal