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Field
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new systems with bioinformatics, validate them in microbiological assays and then characterise the mechanisms of defence on the molecular level. Currently the lab is working on many (>10) novel, as-yet
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research, or a related field is a must • Proficiency in bioinformatics or clear motivation and prior exposure; HPC and metagenomics pipeline experience preferred • Experience with next-generation sequencing
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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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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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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biology, vascular biology, and/or bioinformatics, supported by a solid publication record. We highly value prior experience in one or more of the following areas: 1) iPSC differentiation and organoid
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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