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proven record of leveraging state-of-the-art bioinformatic methods to explore the specificities of microbial life in hadal sediments, both in terms of novel taxonomic diversity and functional potential
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at all levels; offer vital services to scientists in the public and private sectors within the member states; develop new instruments and methods; and engage actively in technology transfer
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changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
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methods for studying somatic mutations at increasing scale and precision. In close collaboration with the Huang lab and others, we are 1) Developing new experimental and computational tools to identify
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is
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backgrounds, a strong interest in understanding differential protein expression in in vivo samples and development of methods to further assess, identify and validate potential targets is required. Our
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. In pursuit of these goals, they will leverage next-generation sequencing and advanced laboratory methods, including sterile tissue culture, proteomics, spatial proteomics/transcriptomics, and single
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protein biochemistry with technical expertise in protein expression and purification using mammalian or insect cell systems as well as basic molecular biology techniques. Experience in structural methods (X
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ChIP-Seq, RNA-Seq, or other genome wide methods is a plus. To apply, please visit: https://careers.dana-farber.org/leukemia-epigenetics_research-fellow At Dana-Farber Cancer Institute, we work every day