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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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. 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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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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differentiation. The position will focus on designing and executing experiments involving Cas9 based perturbation, single cell multi omics method development, and downstream verification in transgenic cell lines
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materials. Use molecular dynamics, lattice-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations
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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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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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team, Aarhus University and MAX IV. Depending on the candidate’s interests and expertise, research activities may include studies of functional materials, advanced crystallographic methods, automated and
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and work in the interface of basic cellular biology /virology and experimental clinical medicine trials meeting the challenges of developing methods to the highest international scientific standards As
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instruments, with data obtained with DNA methods and data obtained with a Hirst trap. • Numerical models used by the group covers the particle dispersion model HYSPLIT in combination and the numerical models