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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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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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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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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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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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, vegetation-plot, remote-sensing or environmental datasets; knowledge of climate and land-use scenarios, including SSP/RCP-based projections, and methods for propagating or quantifying model uncertainty
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, glucose tolerance tests, tissue collection). Be motivated to learn and apply advanced mass spectrometry approaches or novel microphysiological methods. Possess or be willing to develop coding skills (R
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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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embeddings, and developing explainable AI methods that translate model outputs into interpretable visualisations for clinicians and chemists. Extending methods to high-resolution MALDI (MALDI-2, timsTOF) and