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quality research. Teaching skills. Additional assessment criteria: Relevance and viability of past and future research interests. Experience with large-scale data analysis Proficiency in programming
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project management and English communication skills. In addition you should have: A PhD in a relevant subject, such as large-eddy simulation, atmospheric physics, or microphysical modelling. Excellent
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statistical modelling such as machine learning methods and demonstrated experience in the handling and analysis of big data would be highly desired. The successful applicant will also demonstrate personal
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. The successful candidate is likely to have some of the following qualifications: A PhD in Physics, Chemistry, Engineering, Mathematics, Computer Science or a related discipline Experience in the broad area of
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encouraged to interact widely with this group and with the other scientists across the wider university. The post is based at the Department of Psychiatry at the Warneford Hospital and in the Big Data
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state-of-the-art HPC, applied data science methods, big data analytics and data management systems and for interacting with both researchers and users of these technologies. The initial period of the
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plays a leading role in analysing longitudinal network data and intense (EMA) data, modelling common mental disorders in order to find new targets for interventions at different levels (see
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epidemiology. Successful candidates will participate in NIH- and DoD-funded epidemiologic research under the mentorship of Dr. Maria Argos, utilizing data sources from US- and international-based cohorts
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. The candidate will be responsible for development and validation of signal processing algorithms, analyses with large epidemiological and patient datasets, and supervision of Master and PhD students. Requirements
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both qualitative studies, surveys to employers and experts, and at least three large-scale field experiments in collaboration with healthcare employers in Denmark. The research team consists