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- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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/ bioinformatician with a strong interest in quantitative biology and mass spectrometry-based proteomics to develop new approaches for extracting biological information from complex mass spectrometry datasets. You
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SPECIFICS Postdoctoral Scholar (Computational Proteomics/Mass Spectrometry) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University
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dietary restriction. The project will integrate genetic, transcriptomic, proteomic, metabolomic, and gut microbiome data, with clinical and lifestyle information, to identify biological determinants
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variation as an anchor for causal inference across molecular layers (genomics, transcriptomics, proteomics, and metabolomics), enabling more principled identification of disease-relevant proteins and pathways
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uniquely accessible human fetal tissue from the Scottish Advanced Fetal Research Study (SAFeR), advanced single-cell genomics, proteomics, spatial imaging and ex vivo human tissue models, the programme will
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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 18 hours ago
goal, we build on a strong foundation in geometric deep learning, generative AI, representation learning, high-throughput genetics and proteomics, molecular and cell biology, chemical biology, and
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datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with an emphasis on trajectory inference, regulatory dynamics, and cell fate decisions. A key goal is to integrate multimodal data
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, is strongly preferred; knowledge in genomics, genetics, or proteomics is desired but not required. Additional Information: Location: Lincoln Tower (0271) Position Type: Term (Fixed Term) Scheduled