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Field
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new approach has emerged that integrates data and mathematical models through neural networks. This has led to the development of a method for solving partial differential equations (PDEs) known as
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approach, whole-genome resequencing data will allow inferring the population genomics and demographic history of species with broad elevational ranges (~2,300–3,800 m) to understand the roles of neutral and
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wider research team. This role is primarily a computational modelling and advanced data analysis position, and it is essential for the postholder to have a PhD in computational neuroscience
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the assignment to a particular salary grade. It is that easy to apply: The following information need to be submitted as one single pdf-file up until 02 August 2026 via the VDSP webform: Transcript of your study
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considered. For more information about the role, please contact Assistant Professor Miika Mattinen ([email protected] ). For questions related to the application process, please contact HR Partner Eeva
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Miscanthus genotypes, in collaboration with colleagues in IBERS-Aberystwyth. You will generate and analyse RNA-seq and DNA methylation data to measure homoeolog-specific expression, identify non-additive
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in real materials behave in complex ways, and turning measurements back into quantitative information about a material’s internal state is a notoriously difficult inverse problem. This is where AI can
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: people do not follow mathematical rules, they navigate health decisions as group members whose identities shape how they interpret risk, trust information, and act. The PhD project will play a crucial role
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, forming the foundation of a PhD programme. You will collaborate with public advisory groups, clinical and research teams to promote inclusive research practices, manage research data in line with ethical
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advanced simulation, AI-ready modelling and industrial data to accelerate pharmaceutical manufacturing and the delivery of life-saving medicines? This industrially focused project, co-supervised by