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of neurodegeneration, totaling to over 1,500 human brain samples. Using an array of -omics techniques, e.g. long read DNA sequencing, single nuclei transcriptomics and multi-modal proteomics, the team aims to identify
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Applications should include: Curriculum Vitae Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align
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career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results from university-level courses taken List of publications
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project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results
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should include: Curriculum Vitae Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with
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core network protocols Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses Working knowledge
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About the project Systemic amyloidosis comprises severe protein misfolding diseases in which amyloid fibrils accumulate across multiple organs, leading to progressive dysfunction. AL (light‑chain
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analysing high-throughput sequencing data, ideally including genome assembly and/or comparative genomics (large or repeat-rich genomes are a plus); You have strong programming and data analysis skills (e.g
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to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript
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experience in one or more of the following NMR domains: Coding, modifying, and executing pulse sequences Simulating NMR spectra or phenomena Molecular simulations (molecular dynamics) based on NMR data Model