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Field
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, with experience in algorithm development. Confident coding skills and familiarity with modern coding workflows and best practices. Excellent verbal communication skills and the ability to engage
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related to software development and research. Understanding of fundamental data structures and algorithms for designing and implementing efficient software and models. Familiarity with cloud platforms and
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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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-engineering, including control systems, soft sensors and actuators, robotics, tissue surrogates, foams, stretchable electronics or e-skins etc. The successful applicant will demonstrate: Clear plans to build
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quickly to work with new systems and integration requirements that come with cutting edge AI research such as machine learning, large language models, robotics and sensor systems. This enterprise-focussed
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++. Strong analytical and problem-solving skills to identify and resolve issues related to software development and research. Understanding of fundamental data structures and algorithms for designing and
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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for the technical development of the PRADA tool, an understanding of or experience with AI, digital apps and software algorithms would be desirable, as would an understanding of major depression and its
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their interlayer interactions. The aim is to determine the structure-properties relationship, with a view to evaluate these materials’ suitability as sensors or as anodes in batteries. Our group’s research is in
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directly and relate them to structural and functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based protein design algorithms. Techniques