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Field
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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applied to medical or population genomics or other omic demonstrate experience in analyzing large omic data be proficient in one programming language be able to work independently and in a structured manner
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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Reporting. For any subject-specific queries, please contact Dr Faizul Haque (F.Haque@soton.ac.uk ). Banking and Finance: seeking students with expertise in Big Data Modelling. An MSc degree in Statistics
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Beginning is in January each year or individually later. Application deadline There is one
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Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automation of tool wear measurement and data
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biomarkers – including voice biomarkers – to support the early detection and remote monitoring of psychological well-being in people with diabetes. This project builds upon the large international Colive Voice
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute