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Field
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, genetic diversity, connectivity, and conservation status. Conduct gene expression analyses to assess functional genomic responses. Perform bioinformatics analyses using pipelines for genomic data, including
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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and executes advanced microbiology and immunology techniques, including flow cytometry, scRNA-sequencing, bioinformatics, and confocal microscopy; develops, adopts and implements new laboratory methods
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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science, engineering, or medicine, and possess a strong background in stem cell biology, vascular biology, and/or bioinformatics, supported by a solid publication record. We highly value prior experience in
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genomics, bioinformatics, and biomedicine. Contribute to the publication of research findings in high-impact journals. Gain hands-on training in cutting-edge and multidisciplinary research. Required
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Associate position must
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. Responsibilities/Duties: · Perform biostatistics and bioinformatics for scRNA seq analysis. · Perform molecular, cellular, biochemical and immunological analyses · Optimize and troubleshoot experimental protocols
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Institute (BCI) in London, with an ideal start date of July 2025. About You The successful candidate will be highly-motivated, have a PhD (or close to completion)* in a biological or computational discipline