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Field
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. The Research Fellow is expected to be physically present at NTU during working hours. Office space, computing resources, and access to NTU facilities and licensed software will be provided. Requirements PhD in
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automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab
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develop and share a Web-App, developed in the RShiny software environment, describing geographic variation in the demography of owned and unowned cats in the UK. The post will include full membership of
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series of peer-reviewed journal articles published in high quality journals. Experience with FileMaker and Fulcrum data collection software and Adobe Lightroom for processing of photographic imagery
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series of peer-reviewed journal articles published in high quality journals. Experience with FileMaker and Fulcrum data collection software and Adobe Lightroom for processing of photographic imagery
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and perform simulations using established software like MEEP and COMSOL, as well as custom-written code based on languages like C++, Python, Matlab Lead papers and publish in high-impact journals
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and implement robotic control systems Optimization of formulation for UV 3D printing / direct ink writing 3D printing Contribute to ongoing soft robotics research Design and prototype using CAD software
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. The post holder will have experience of social media content production and website design. Ideally they will have applied knowledge of data visualisation software and experience of working across different
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students and working effectively in a team-based research environment Proficiency in common computational chemistry software and coding techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis