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in academic writing in English; preferably mastering some Dutch or willing to learn Dutch. A keen interest in the topics to be investigated in the project, preferably demonstrated by previous work
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and spoken English; experience in academic writing in English; preferably mastering some Dutch or willing to learn Dutch. - A keen interest in the topics to be investigated in the project, preferably
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learning, knowledge exchange, and joint knowledge creation. During these stays, 100% of the time of the PhD is dedicated to the research program. As part of NGinfra, the PhD candidate will also have ample
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applications and machine learning. Good analytical skills and a positive attitude towards interdisciplinary work. We offer you, following the Collective Labour Agreement for Dutch Universities: A salary of
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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also be requested to teach. This PhD project offers a unique opportunity to develop yourself as an academic researcher and to work local and international research contexts. The PhD project The IJssel
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for computationally demanding applications and machine learning. - Good analytical skills and a positive attitude towards interdisciplinary work. Additional Information Benefits We offer you, following the Collective
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies
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results via peer-reviewed publications, conference presentations, and ultimately a PhD dissertation. You will also be requested to teach. This PhD project offers a unique opportunity to develop yourself as