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relapse in order to design novel inhibitors to intervene the malignancies 3) collaborative analyses of myeloid cancers genomics using high-throughput single-cell sequencing chor high throughput proteomics 4
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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, immunology, and multiomic methodologies (sequencing-based and protein phenotyping) to apply for the postdoctoral position. Project description The postdoc will participate in the ongoing 4DINFLAMMABILE project
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challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers
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will be required to take a leading role across multiple projects, with support from other members of the team. Project topics are agreed with the funders in accordance with their priorities. KIS is a KHP
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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Objectives: Under the guidance of a mentor, the follow will have the opportunity to learn the following: Extraction and sequencing of field and laboratory samples of insect vectors and microbes Analysis
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be ideally be proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and
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conduct laboratory-based research focusing on multiple myeloma and its precursor conditions. Based on the mission of the lab, the successful candidate will be responsible for identifying novel biomarkers
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the work of others and act as team leader as required. The successful applicant will possess sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational