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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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nuclear integrity in human cells. These fundamental biological processes are crucial for organismal development, and their dysregulation is linked to many devastating human diseases. Project: Recent work in
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. Cutting-edge technologies will be used, including single-cell omics, high-dimensional imaging (CycIF, iDISCO), genomic editing, and functional validation in patient-derived brain organoids and murine models
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) Cover letter Abstract of your thesis List of 3 referees description of possible research interests/ideas Early application is highly encouraged, as the applications will be processed upon reception
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at some point during the selection process Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 30/06/2025
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified
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Names and contact information of 2-3 referees Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages