757 multiple-sequence-alignment Fellowship positions in Ireland-University-Ranking-2024
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, prototypes, and trial systems. Identify delivery risks and recommend adjustments to scope, sequencing, resources, or partner responsibilities. Guide researchers and engineers without necessarily holding formal
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sequencing and study of genotoxic stress markers. This project is funded through a four-year US Ovarian Cancer Research Program grant. This is an on-site position located at Vancouver Hospital Campus. Key
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biology, genomics, epigenomics, microbiome science, proteomics, and clinical research. The position will focus on the development and evaluation of low-input whole genome sequencing and study of genotoxic
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(equipment, chemicals, gases, and consumables) in alignment with research priorities. Establish and maintain laboratory-level management systems (e.g., inventory tracking, equipment coordination, SOP
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diverse sources of biological information, including the biophysical principles governing protein–DNA interactions, the genetic and epigenetic features of DNA sequences, and the three-dimensional (3D
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across maternal and neonatal cohorts. The Fellow will be encouraged to develop independent research questions aligned with the program and lead high-impact publications and grant applications. the Fellow
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specific emphasis on the interpretation of single cell results within a biological context. The position also entails close collaborations with multiple groups, many at the Stanley Center in the Broad
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& Bioinformatics Develop, implement and optimise computational pipelines for analysing large-scale whole genome, whole exome and multi-omic sequencing datasets. Analyse somatic mutations across multiple mutational
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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in immunology and computational biology, specifically bulk/single cell sequencing and AI/ML workflows, to join an
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learning, dynamical systems, sequence generative models and world modelling. Emphasis will be on methods that design and implement new architectures for latent dynamic modelling to enable identification