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that directly relate to this position. The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine & Bioinformatics, is seeking candidates for a postdoctoral research fellow position
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of developing metabarcoding methodologies for identifying pollen in honey, processing the data obtained, and disseminating the project. 3. Work Plan: 1) supporting the development of work within the scope
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of structure-function quantifications. We also perform CRISPRa high throughput screening and massively parallel reporter assays (MPRAs) in iPSC-CMs. A current major focus of the lab is implementation of MPRAs
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. Perform any other duties relevant to the research programme. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive
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Products. A current research project evaluates the role of microbes in texture losses of vegetables during processing and long-term storage. The selected candidate will participate in all aspects
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technologies (lipidomics, proteomics), cell biology, molecular biology and bioinformatics to clarify the mechanisms of key molecular interactions, and support the development of early diagnostic and intervention
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contamination, specifically colonization of dairy animals and contamination of dry dairy processing facilities. The participant will have the opportunity to investigate pathogen dynamics in dry dairy products
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the project. We are particularly seeking applicants with expertise in molecular and cellular biology, proteomics, bioinformatics, or a closely related field. Candidates should hold (or be close to completion
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in bioinformatics is a plus. Closing Statement Boston College offers a broad and competitive range of benefits depending on your job classification eligibility: Tuition remission for Employees Tuition
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genomics approach to examine host-pathogen interactions in several aquaculture species. The applicant will learn to integrate laboratory techniques with bioinformatics approaches, such as gene expression