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ageing studies and diagnostic measurements. Familiarity with machine learning and data analysis. Strong programming skills, for example in Python and/or MATLAB, and a strong publication record. What you
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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and applied research, spanning a large variety of research areas including Automatic Control, Automation, Mechatronics, Biomedical Engineering, Communication Systems and Information Theory, Signal
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molecular and cell biology, including experience with standard laboratory techniques. Experience in the analysis of large-scale biological datasets (e.g. transcriptomics or imaging data) and proficiency in