267 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at University of Oslo
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embryonic development, leveraging our state-of-the-art epigenetic and epitranscriptomic methodologies (Nature, 2016; Nature Genetics, 2020; Nature Structural & Molecular Biology, 2023; Nature Biotechnology
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for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial models or second-order meta
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thinking Able to work independently and collaboratively Structured and able to manage complex projects Strong in analytical thinking and problem solving Communicative and able to work across disciplines
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on peptide-membrane interactions, and in particular, towards characterizing and understanding the dynamical and structural effects of various peptides on both simplified and complex membrane systems
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equitable and inclusive. This PhD position has an education and society-oriented focus. The PhD Fellow will work with large-scale register and cohort data to investigate how social structures interact with
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interdisciplinary research across social, psychological and health sciences. Ability to think creatively within a scientific framework. Well-organised and able to structure own work. We are looking for you who is
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, 2016; Nature Genetics, 2020; Nature Structural & Molecular Biology, 2023; Nature Biotechnology, 2024; The EMBO Journal, 2025). These advanced approaches promise groundbreaking insights
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Highly motivated, creative and innovative with the ability to demonstrate original scientific thinking Able to work independently and collaboratively Structured and able to manage complex projects Strong
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. Personal skills: Applicants must be able to work independently and in a structured manner. Applicants should possess good collaboration skills and demonstrate the ability, willingness, and commitment
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learning methods for generating complex structures for generation of virus capsids and therapeutic proteins for gene therapy. The project will involve both physics-based forward modeling of protein