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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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combine multimodal social media analysis with survey experiments, and data-donation methods. By connecting digital communication with individuals’ interpretations and political responses, the research will
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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qualifications and experience: Excellent command of English, both written and spoken; proficiency in Dutch is an advantage Adequate knowledge of statistics, including experience with data analysis Desirable skills
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Are you interested in optimization and data science? Are you motivated to contribute to answering one of the key challenges facing agricultural systems today: how can agricultural supply chains
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, and sustainability transitions; Interest in material flow analysis, life cycle assessment, environmental modelling, and scenario analysis; Experience with programming and/or data analysis (e.g. Python
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19 Aug 2026 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Environmental science » Ecology Environmental science » Global change Researcher
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. If you possess hands-on experience in cell culture, molecular biology, or data analysis, that is fantastic—but please note that we do not expect you to master all these technologies on day one. We
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. We value personal development: you will receive training in advanced spectroscopy, data analysis (e.g., Python or MATLAB), and scientific communication. You’ll have the opportunity to attend