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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
loss patterns across diverse plant lineages Explore graph-based algorithms for multiple genome alignment and ancestral karyotype reconstruction Position 2: Evolutionary Analysis and Network
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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Job description We’re looking for a postdoc with hands-on experience in genetically modifying marine phytoplankton—someone excited to learn how microbes naturally sequester carbon in the environment
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Schoonjans (Pediatric Neurology Department UZA) are seeking a highly motivated PhD student to work on clinical data analyses and multi-omics approaches in the rare genetic neurodevelopmental syndrome, STXBP1
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expertise with laboratory work in a molecular/genetic lab, including DNA- and/or RNA-sequencing technologies. Some expertise in bio-informatics and data-mining is a plus. You have analytical problem-solving
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the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative
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. Charcot-Marie-Tooth disease (CMT) represents the most common genetic disorder of the peripheral nervous system. Patients experience progressive distal muscle weakness and wasting, sensory loss, and skeletal
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of cellular metabolism or physiology. Experience in genetic engineering of phytoplankton or mass spectrometry-based metabolomics is a plus. The postdoc will get training in high-throughput metabolomics and
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genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more
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metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving