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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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thermal signals with high sensitivity and nanoscale spatial resolution, opening access to biophysical structure and dynamics that are difficult or impossible to reach with conventional techniques
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for your first challenge? Do you have a background in cell biology, structural biology or molecular immunology? Do you want to further your career in one of the UK’s leading research intensive Universities
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dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified
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and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern
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of putative epialleles. You will: Oversee DNA sequencing approaches for targeted analysis of DNA methylation, SNP and structural variation between accessions, including long read sequencing methods Perform
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or
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microscopy, image analysis, and programming for the automation of image quantification - In-depth knowledge of membrane biology, particularly regarding the structure, content, and dynamics of the endoplasmic
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, workforce development, and continuous improvement within a dynamic and rapidly evolving research environment. Decisions made by the CSSO influence organizational risk, sponsor confidence, regulatory
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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https