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Field
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using cancer cell lines. A combination of bioinformatics and wet-lab approaches We welcome applicants with deep experience in molecular biology, neurobiology or cancer, RNA biology, and familiarity with
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background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong knowledge in bioinformatics, machine learning
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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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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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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inflammation, multiparameter flow cytometry, and bioinformatics/computational biology is desired. Please send curriculum vitae, three names of reference and a one-page summary of research background and
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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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, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore the frontiers of AD. Job Description Primary Duties
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disciplines, including computer science, bioinformatics, and medicine, as part of a large European consortium. In particular, you are expected to collaborate closely with another postdoc hired at Leiden
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areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning