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Field
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Responsibilities Develop suitable algorithmic methods for live and real-time analysis of synchronous and asynchronous data. Write research reports and publications. Analyse and interpret the results of own research
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data analysis code and/or software algorithms with a focus on interfacing with test systems and automation of test measurements. Essential Requirements As part of the application process, you will be
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, characterisation and/or calibration of image sensors. Good understanding of, and demonstrable experience in, writing bespoke data acquisition and data analysis code and/or software algorithms with a focus on
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
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algorithms for 3D meshes in a web XR context. This Knowledge Transfer Partnership (KTP) project between Smartify and the University of the West of Scotland (UWS), will deliver an AI driven system
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using the Julia package Molly.jl on both CPU and GPU, as well as addressing relevant computational and algorithmic questions. You will become an expert in molecular dynamics methods and relevant protein
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algorithms, models, and their optimization techniques Knowledge of TensorFlow, PyTorch, etc. Effective communication (oral and written) skills, ability to write research reports and papers in style accessible
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and accurate registration of ultrasound scans of 3D-printed human skulls to MRI/CT head scans. The research associate will develop anthropomorphic head phantoms and algorithms for fast and accurate
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, interpretability and trust in AI algorithms and AI-based technologies. Applications with healthcare, energy, sustainability, business analytics, etc. Candidates are expected to demonstrate a track record of