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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
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for production improvement. Explore, build and validate a low fidelity digital twin including more advanced high fidelity configurations critcal for scaling and improvement. Calibrate the models inside the digital
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as