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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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sources Design reproducible studies and evaluate models using appropriate analytical methods Build and evaluate reproducible longitudinal models and research software Write scientific articles and
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enrolment in, the doctoral programme leading to the degree specified in this notice. The appointment is conditional on documentary verification of these conditions and fulfilment of the host institution's
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enrolled in, or meet the conditions required for timely enrolment in, the doctoral programme leading to the degree specified in this notice. The appointment is conditional on documentary verification
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journals, responsibly managing research data and software, and promoting open science. Preparing and acquiring external research funding and building research collaborations and networks. Supervising
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software and programming environments. Experience with optimisation, simulation, econometrics, or data analysis applied to energy or market data. Knowledge of data centre operations, computing infrastructure
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using both vendor-specific and publicly available software tools for MS data analysis. Detail-oriented both at the lab bench and with record-keeping. Good command of English, both written and spoken. Soft
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an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in
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Researcher, your main responsibilities will include: developing and constructing an open-source, open-hardware low-field MRI device implementing and testing software, especially pulse sequences on the low
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Demonstrated experience developing data-analysis pipelines, software tools, workflows or computational resources that are documented and usable by others Substantial experience in the analysis of high