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Do you want to contribute to top quality medical research? The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas
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The position requires: A degree in a relevant field (240 ECTS credits or more) or an equivalent foreign qualification Excellent spoken and written English Experience in handling and analyzing MSC/HSC cells, and
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well as providing guidance to PhD and MSc students. Teaching and supervision amounting to a maximum of 20% of full-time may be included in the duties. Qualification requirements Qualified for the appointment is
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journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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conferences and project meetings Contribute to the supervision of PhD students and support teaching activities at BSc and MSc level Take part in relevant departmental duties Qualifications A doctoral degree in
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proteins or related research questions. Your major responsibility is to perform research, but the position may also include teaching in the form of supervision of MSc students and junior PhD students
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MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible
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with the project’s Principal Investigator, and practical implementation of this research with the AIMLeNS team. The role also offers ample opportunities to mentor PhD students, supervise MSc projects
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Computer science, Biostatistics, Bioinformatics, Neuroscience, or similar field. Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization. Proficiency in