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Linux environments A genuine interest in neurodegeneration, gene regulation, and single-cell genomics Specific Requirements MSc degree in Biomedicine, Bioinformatics, Molecular Biology, Neuroscience, or a
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interest in applying artificial intelligence to clinically relevant biomedical questions. You hold a master's degree in computer science, artificial intelligence, bioinformatics, biomedical engineering
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differential gene expression analyses Perform bioinformatic and statistical analyses to identify and interpret gene-level genetic and DNA methylation variation between accessions Assist in greenhouse work as
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to uncover new disease mechanisms and identify novel drug candidates. This highly interdisciplinary and collaborative project offers exceptional training in neuroscience, genomics, bioinformatics
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 1 day ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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mitochondrial biology, a highly specialised clinical service, human genetics, proteomics, bioinformatics and translational science. You will be supervised by Professor Rob Taylor, Dr Sarah Pickett and Professor
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, etc. Knowledge: background in cancer biology, immunology, cell biology, etc. Training and interest in bioinformatics, computational biology. How to apply Please apply via the University Applicant Portal
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organismal levels • Gene expression analysis (histology, scRNAseq data minining) • Phenotyping using behavioural setups • Acquisition and segmentation of image datasets • Bioinformatic data analysis (genome
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Bioinformatics. Experience in super-resolution confocal microscopy. Knowledge in bioinformatics and RNA-seq dataset studies. SKILLS AND COMPETENCIES: Advanced level of English. Analytical and problem-solving
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, immunology, molecular biology, and biochemistry. Research is carried out in close collaboration with clinical departments, BioMS, and experts in proteomics, peptidomics, and bioinformatics at Lund University