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Field
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analyze single-cell RNA sequencing (scRNA-seq) datasets using biostatistical and bioinformatics approaches. Conduct molecular, cellular, biochemical, and immunological analyses to support research
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analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering, electronics, biostatistics, mathematics, physics, biomedical engineering, or
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clinical partners in Europe and the US has been established. The successful candidate will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties
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should hold, or be close to completion of, PhD/DPhil in molecular microbiology or biochemistry. You must have relevant experience in molecular bacteriology, plasmid biology and bioinformatics, specifically
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, experience in preclinical studies using leukemia mouse models is required. In addition, the candidate should have a strong background in cancer biology, immunology and computational biology, bioinformatics
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. Role and salary We are looking for an enthusiastic, broadly knowledgeable Postdoctoral Researcher who is familiar with genomics and bioinformatics methodology to drive projects focusing on deciphering
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bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving
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data analysis skills, with proficiency using machine learning methods. You should be willing to learn and apply both bioinformatics and machine learning methods to curate and compare disparate data sets
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software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge of complementary structural and biophysical methods. Specialist knowledge in the discipline
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the field of the airway. Management, analysis and interpretation of clinical and research data, including the application of bioinformatics and statistical analysis techniques. Coordination and monitoring