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Field
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developed a unique methodology and software to simulate and analyse the performance of gas turbine engines in the past half century. The research in this area at Cranfield will be a good starting point for
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– or take part in – the fascinating internal information session Naturalis Draait Door. A laptop and mobile phone allowance. Nice extras such as discounts on software and hardware for private use, collective
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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dynamics (CFD) using software such as COMSOL or Autodesk CFD, or the willingness to learn these tools; conceptualising complex offshore energy systems and translate them into computational models
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analyses Develop user-facing data products (e.g., risk maps, warning systems) and contribute to software architecture (APIs, microservices, web apps) Publish and present your research, contribute to open
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are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we
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), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas, SHAP, TensorFlow, etc.) y específicas de análisis de imágenes, estadística, simulación, entornos cloud (tipo Kubernetes
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of Prof. Frans Cornelissen at UMCG, as well as with the multidisciplinary project team comprising academics, clinicians, and software developers, to achieve the project’s objectives. The successful
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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several weeks; Recording research data in WMR’s software systems and reporting any irregularities. You will work together with different colleagues in several project teams focused on marine fisheries. Your