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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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Biology is organized into seven research programmes which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
Description Are you an enthusiastic and ambitious researcher with an interest in neurobiology and bioinformatics? We are searching for a postdoctoral fellow to conduct groundbreaking gene expression analyses in
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
you want to contribute to top quality medical research? Are you an enthusiastic and ambitious researcher with an interest in neurobiology and bioinformatics? We are searching for a postdoctoral fellow
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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biopesticide development and targeted antimicrobial delivery. The team is interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently
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well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining