14 multiple-sequence-alignment Postdoctoral positions at Northeastern University in Ireland-University-Ranking-2024
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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative
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on multiple projects in an active research laboratory. The candidate will work with an interdisciplinary research team including lab members and Dr. Okeke’s collaborators on ongoing and new projects. The Lab
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multiple projects, and deliver at a high level. This work integrates gene therapy, chemical conjugation, and quantitative transport modeling to engineer charge-guided delivery systems for dense, negatively
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responsibilities. Lead design and administration of the pre/post competency assessment pilot across participating colleges, including instrument selection, administration windows aligned to the six-month co-op cycle
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processes in catalysis and photochemistry and to design photo-active proteins and macromolecular catalysts. Other projects that align with the lab's general interests are also possible. For further details
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on priorities identified by both organizations. Projects under this program are jointly selected to enhance the JAX/Roux partnership, align with each institution's strategic priorities, and integrate biological
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under this program are jointly selected to enhance the JAX/Roux partnership, align with each institution's strategic priorities, and integrate biological and data science. This cycle’s focus is on AI
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. Applications will continue to be accepted until the position is filled. This position will be based in the Okeke Lab and will report to lab Director Dr. Emeka Okeke. The position involves working on multiple
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple