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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large
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must hold a PhD (candidates who are in the final stages of completing their doctoral dissertation may also be considered), demonstrate the ability to conduct independent research, and have prior
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a doctoral degree in demography, public health/epidemiology, statistical sociology, statistics, population genetics or other relevant field, have strong quantitative methods skills and an excellent
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PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral Researcher’s position, the appointee is expected to have
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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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your application and look forward to welcome you to our open stimulating research environment. Requirements Candidates must hold an internationally recognized PhD degree in quantum physics research
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for green hydrogen continues to rise, the high energy demands associated with conventional methods like electrolysis highlight the need for alternative approaches. Photocatalysis, leveraging solar energy for
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utopia, we aim at developing literary theory’s frameworks and methods in order to bring Eastern-European literary traditions into the world-literary discussion. The project is hosted at the Faculty
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physics and urban meteorology groups at INAR. The computational aerosol physics group uses computational and theoretical methods to understand cluster and particle formation for atmospherically relevant
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research profile in inverse problems and computational mathematics. About the job This project focuses on developing advanced methods for uncertainty quantification in inverse problems, i.e., mathematical