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studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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engage in translational science and be exposed to the biotech start-up community in the greater Copenhagen area. In parallel, as part of PLEN, the Post Doc fellow will be interacting leading scientist
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programming, parallel computing, and bioinformatic and statistical genetic software packages. Experience in working with genomic and proteomic data available for large extended pedigrees. License
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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evolution under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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coupled with High-Resolution Mass Spectrometry (HPLC-HRMS/MS), typically Q-TOF or Orbitrap systems, and potentially Gas Chromatography-Mass Spectrometry (GC-MS). Advanced Data Processing and Bioinformatics
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, respectively. To this end, we will perform cutting-edge proteomics analyses on post-mortem human retinal tissues and use bioinformatics and deep learning tools to integrate it with complementary omics datasets
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, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore the frontiers of AD. Job Description Primary Duties