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-engineering. A semantic interoperability backbone and data management are also required due to the large number of stakeholders and their need to receive or exchange information. Experience with modelling
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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, designs, infrastructures and action-perspectives for a climate-proof, drought-resilient, and water-sensitive built environment. For more information about the project, see: Thirsty Cities . Are you eager
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/nature conservation or a similar relevant field as mentioned above; Sound understanding of forest ecology and biodiversity; Experience or strong interest in big data analysis; Proficiency in programming
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. You will join our large team of about 30 researchers that focuses on the molecular aspects of infection of corona-, influenza- and picornaviruses. We offer a challenging position in a dynamic and
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the process level and the ecosystem level, which we assess with mixed methodologies like integrated assessments, the analysis of big data, precision agriculture, sensing, and robotics. We do this by means
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interfaces with industry and reviews Knowledge of large-scale, complex ground and space system architecture, including interfaces, networks and protocols Knowledge of ESA space system development and
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Your job We are seeking a PhD candidate to drive the transformation of food product development through the integration of high-throughput experimentation (HTE), data science, and food processing
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to: Design, plan and conduct a programme of investigation, in consultation with the three supervisors. Produce a PhD thesis, written in English, consisting of four data chapters, an introduction and discussion
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the interdisciplinary research programme GroenvermogenNL, which supports the large-scale development and implementation of green hydrogen in the Netherlands and across Europe. The programme addresses the system-wide