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Field
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lab operations. Responsibilities Independently perform basic and advanced level statistical analysis and algorithm implementation for high-throughput sequencing data. Act as a liaison between end-users
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, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. Design and prepare materials and courses for training on various bioinformatics software and
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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data
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soon as possible thereafter. The end date for the position is 31 December 2028. The Department of Philosophy has around 45 academic staff, six administrative staff and around ten PhD- and postdoctoral
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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to test the current algorithm and inform development of future algorithm refinements aimed at supporting diabetic foot ulcer (DFU) prevention through identification of temperature differences of > 2.2°C
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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& Qualifications needed A first degree in Computer Science, Mathematics, Physics, Electronic/Electrical Engineering, or a related field A PhD (or equivalent experience) in a relevant discipline Solid knowledge