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Field
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of longitudinal and/or psychometric research methods - Demonstrable ability to manage and analyse complex datasets using statistical software (e.g. SPSS, R, or equivalent) - Experience disseminating research
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prediction of cellular conversion factors • Experience working in a multi-disciplinary research environment We offer: • Opportunity to do highly interdisciplinary research to solve complex biomedical problems
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the Department). The position is part of the ERC Advanced-prosjektet «New Horizons of Parameterized Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and
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response to selection pressure on behavior, and how brains acquire heritable adaptations for complex, learned behaviors. The lab’s websites are: http://hechtlab.org/ and http://caninebrains.org There will
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working with large or complex datasets Interest or experience in regulatory science, pharmaceutical or health policy, clinical evidence evaluation, or the analysis of regulatory and clinical documents
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architecture of complex traits. We develop computational and statistical methods for sequencing studies. We also have projects in cancer genomics and applied human genetics. The lab encompasses a wide range of
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, supply chains, critical minerals, energy, and public-private partnerships. These are cross-cutting challenges requiring deep analysis and complex policy solutions. The United States Studies Centre (USSC
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communication and stakeholder engagement skills, with the ability to translate complex technical outcomes into practical industry recommendations and standards contributions. About UQ As part of the UQ community
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of complex geometry. A central focus is to develop a new understanding of droplet wetting on fibrous structures, as well as the coupling between active surface properties (and their temporal changes) and
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high-quality research. Do you have a track record of working with partners across the higher education, public and voluntary sector? Are you able to communicate complex ideas to a variety of audiences