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Field
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joining technologies, motor winding arrangements, and 3D-printed structures capable of mounting semiconductor devices within the motor architecture. 2. Thermal Management The harsh thermal environment
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Vision Language Models (LVLMs). Experience in physics-based 3D modelling would be an advantage. Proficient in Python and PyTorch, with familiarity in C/C++. Strong oral and written communication skills in
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disease Utilize advanced research techniques, including: In vivo mouse genetics Live imaging 3D organoid models Functional screening approaches Next-generation sequencing technologies Analyze tissue
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with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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the broad area of structural 3D printing (metals, concrete, and composites) and advanced manufacturing. Computational mechanics and structural topology optimization Vision-based structural health monitoring
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mutations in nuclear lamins cause lipodystrophies and associated metabolic diseases. More about the position You will be expected to carry out wet-lab 3D genomics experiments and analyze data in the context
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vertically. The project combines urban studies, remote sensing, 3D modelling, environmental science, architecture, political science and participatory approaches to investigate the environmental, social and
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research students. Competent computer skills including experience using Microsoft Word, Excel, Outlook and MS Teams. Experience in using AutoCAD to create 2D drawings or 3D models is desirable. Demonstrated
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance