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numerical modelling tools, i.e. a depth-averaged (2DH) and a 3-dimensional (3D) model, in the TELEMAC modelling system (www.openTELEMAC.org ) to simulate the fluxes and fate of plastics in the Scheldt Estuary
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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systems, segmenting medical imaging data, and creating accurate 3D anatomical models for analysis and 3D printing. You’ll be working alongside multidisciplinary teams across clinical, research, and
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for electrical machines based on custom-designed embedded hardware and edge-deployable AI models. Building upon prior work that established basic IoT connectivity and AI-based fault detection methods
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research experience in an international context; Participation in scientific meetings and workshops (preferably with oral and poster communications); Experience in 2D, 3D and in vivo melanoma mouse models
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on the layouts and integration schemes, 3D structures are simulated in TCAD then used to produce electrical compact models for both the device and the RC parasitics due to the metal interconnects. These models
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waves still remains a challenging and important research topic, with applications ranging from modelling tsunamis, rogue waves, and ice floes to informing ship design and coastal management. The accurate
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optimization and aerodynamic modeling. Fabrication: Composite layup, 3D printing (FDM/SLA), and assembly of drone airframes. Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic
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of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT
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Citrin Foundation (Registration Number: 15940318) 2 Allen Street, London-United Kingdom, W8 6BH | United Kingdom | 2 months ago
derived from human induced pluripotent stem cells (iPSCs), which offer clinical relevance and a more reliable disease model. Using 3D liver-like models derived from patient iPSCs and genetically modified