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Field
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will combine mathematical modelling and case-based research , while contributing to the broader goal of circular and data-driven supply chains. You will apply techniques from operations research
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 10 hours ago
processes. Additionally, you will develop and employ process modelling to aid technology development and improve understanding of the process itself. Your profile You are an ambitious and talented early-stage
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MEng degree (or equivalent) and a PhD in Maritime Engineering and Technology or pertinent disciplines (Res Assistant if no PhD), adequate knowledge of modelling marine engines operations with alternative
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explore how to combine data-driven and model-based approaches to assess the quality of returned parts, monitor in-process performance in real time, and support intelligent decisions on remanufacturing
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 10 hours ago
engineering. Knowledge of and experience with signal processing is considered valuable, as is hands-on experience with experimental work. You are preferably a driven person, aiming for good research work and
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on developing data-driven, low-order aerodynamic models of VPPs, updated in real time with experimental data, and using them to design control strategies for flight stability and performance optimization
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. These tumors are typically poorly infiltrated by cytotoxic T cells and exhibit resistance to immune checkpoint blockade (ICB) therapy. Using a novel genetically engineered mouse model (GEMM) developed in our lab
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models in Matlab or Python. Laser-assisted automated fiber placement Laser-assisted fiber placement (LAFP) is an additive manufacturing technology for thermoplastic composites. A laser heats both the
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create ground-breaking mathematical tools for data-driven modelling and control of complex processes, which will be efficient in practice and have rigorous theoretical foundations. It is envisioned