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carbon, nitrogen, and water flows in agroecosystems. A solid background in uncertainty quantification, applied statistics, Bayesian calibration, and Monte Carlo simulations. Strong skills in scientific
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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for, or whether you wish to be considered for both. Position 1: Physics-driven thermal design and optimization The objective of this position is to develop an optimized cooling system design that satisfies thermal
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Hands-on synthesis and characterisation of carbon, battery or composite materials Electrochemical testing and cell assembly, including glovebox and air-sensitive handling A track record of publishing and
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, and investigate their RNA cargo, cellular uptake, and intracellular trafficking in recipient cells. The work spans biochemical and molecular characterisation using single-vesicle tracking, nanoparticle
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computer science, explainability is mainly evaluated through data-driven metrics. While they provide some insights for developers, it is unclear whether existing metrics track any ethically relevant properties
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organisations and institutions Furthermore, applicants who can document the following will have an advantage: a basic understanding of the Danish VET system a track record of research publications of a high
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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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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is
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using the COM-B model and Behaviour Change Wheel across three phases – baseline measurement, pre/post pilot assessment, and longitudinal tracking. Collaborating with technical partners (e.g. on digital