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computing; Experience with process-based modeling or willingness to learn; Hands-on experience in conducting controlled experiments, especially in soil or microbial systems Demonstrate excellent level of
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technology model that analyses integrated satellite and ground-based sensor data; estimating European launcher carbon footprint, energy security and energy cost savings; proposing meaningful carbon footprint
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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modelling. experience with computational methods in social sciences. experience with spatial and regional data. experience with handling large datasets. experience with the use of social survey microdata
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
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Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular
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verification programme, taking into account technical and programmatic requirements, the adequacy of the models’ philosophy and the suitability of integration and test facilities; proactively monitoring