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Field
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to observe low affinity interactions directly and relate them to structural and functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based
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ecosystems. Fairness, safety, interpretability and trust in AI algorithms and AI-based technologies. Applications with healthcare, energy, sustainability, business analytics, etc. Candidates are expected
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(Toronto) designed to drive forward the technology, applications and analysis of MEG data collected using novel quantum sensor arrays, optically-pumped magnetometers (OPMs), particularly in studies
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data
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Engineer/Scientist Associate Experience in the use of data and analytics tooling within Microsoft Azure. Knowledge of machine learning algorithms and data science techniques. Why Arden: At Arden, you will
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include but are not limited to: programming, algorithms, software development, communications and protocols, distributed systems, databases, mobile applications, operating systems, cloud computing, web
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algorithms. These algorithms act as perfect digital lenses, with no image degradation from aberrations, and provide a fantastically detailed, information-rich view of any sample being imaged. Applications
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data
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research active academic staff, around 20 postdoctoral researchers and around 50 postgraduates, with research groups in Algebra; Analysis; Bubble Dynamics; Combinatorics, Probability and Algorithms