37 quantum-physics-"https:" "https:" "https:" Postdoctoral positions at University of Oslo
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. For more information about our current research operations and our latest publications (including Patel et al, 2025, Fei et al, 2023; Karttunen et al, 2023; Sahu et al, 2022; Sahu et al, 2021), see https
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Embryogenesis, funded by UiO's interdisciplinary strategic initiative UiO:Life Science. GENESIS brings together active matter physics, cell biology, and computational biology to address the fundamental processes
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to experimentally map novel and known gene-regulation activities required for healthy embryo development. The project is highly interdisciplinary spanning advanced microscopy, gene regulation, active matter physics
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together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo development. The project will combine experimental
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considering also the physical interactions between gesture and vocal production movements (e.g., breathing and articulation). The project looks at co-singing gesturing practices in three different vocal
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. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways that are relevant to real
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, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application portal. We
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philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and
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, the quality of the PhD dissertation and publications, the applicant’s personal prerequisites and motivation to carry out the project and teach at the department. The hiring process will include an interview
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will unite ecology, statistics, and philosophy to improve the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key