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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
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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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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force, meaning that the employer shall notify the termination of the contract to the employee, at least seven, 30 or 60 days in advance, according to whether the contract lasted up to six months, six
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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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properties in drylands worldwide and analyzing their spatial distribution. The research will utilize innovative remote sensing techniques, advanced modeling frameworks, and cutting-edge datasets to enhance our
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 months ago
Job Code: 10-2025 Job Offer from July 21, 2025 The Max Planck Institute for Nuclear Physics is one of 84 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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the water budget over broader regions, mainly in ungauged catchments. Being developed for specific contexts, the structure of these models, depending on the dominant regime and its dynamics, put more focus on
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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
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into conservation and ecosystem restoration to advance outcome success. We test our research questions with multi-factorial, field experiments and complement that approach with modeling, meta-analysis, and/or