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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
Factor (NGF) via encapsulated cell (EC Biodelivery) or cholinesterase inhibitors (ChEI’s) towards Alzheimer’s disease (AD) therapy. We aim to further our work by performing in-depth gene expression
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
Factor (NGF) via encapsulated cell (EC Biodelivery) or cholinesterase inhibitors (ChEI’s) towards Alzheimer’s disease (AD) therapy. We aim to further our work by performing in-depth gene expression
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repertoire sequencing to examine vaccine-induced antibody and B cell responses in rituximab-treated multiple sclerosis patients across three doses of the BNT162b2 mRNA vaccine. The goal is to identify key
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and in vivo model systems, applying multiple omics methods. You will be working with clinical samples, method development and several molecular biology techniques, especially PCR and sequencing as
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degree (PhD) At least 1 original publication in a peer-reviewed journal A background in the relevant methods Complete application package submitted through the AMBER portal (including CV and detailed
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal patterns of genomic
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availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal
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methods to predict the origin and dispersal patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated