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-throughput measurements of molecular binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoctor that wants to use and
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Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data
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simulated and available experimental datasets. This role offers a unique opportunity to translate transformative theoretical insights into a practical framework for understanding how new phenotypic variation
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description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
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interdisciplinary project. The project concerns algorithm design, implementations of algorithms, and simulated and biological data analysis. The student is expected to learn a bit of relevant molecular biology to
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, biophysics Machine learning and generative AI Molecular modeling and molecular dynamics simulations LNP formulation and characterisation including e.g. small angle scattering, microscopy, single particle
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knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages. Brief account of
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to the instructions in the ad. The application must include: CV including relevant professional experience and knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or
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list with your publications (describe also your contributions for each paper with no more than four sentences). A copy of the PhD certificate and other relevant degree certificates. Names and contact
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of reference genomes, annotation, and characterization of transposable elements) with population genomics (such as variant calling and analyses of hybridization), and simulation-based approaches. This Postdoc