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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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, geospatial data), clean and manipulate them into analysis read versions. - Identify new and emerging data science techniques that will enhance project design and analytical rigour. - Planning, conducting and
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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of processes through real-time data acquisition and analytics; Component fabrication (additive manufacturing); Characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy, nanoindentation, AFM, etc.); And
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offers an outstanding infrastructure for transdisciplinary research in the humanities. We are looking for an innovative and analytical researcher for the position of a postdoctoral assistant in Modern
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international, competitive research environment High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute
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metabolism and human physiology. Experience with clinical research and/or experimental medicine studies necessary. Analytical Skills: Proficiency in data analysis and statistical software. Experience with high
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working culture. Person Specification First degree and a PhD relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly