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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
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, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS
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in their management and optimisation. This position offers an excellent opportunity to further develop bioinformatics expertise in a dynamic, multidisciplinary environment, with scope to design and
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support from Fundação para a Ciência e a Tecnologia, IP.P. / MCTES through national funds (PIDDAC), 2023.17326.ICDT. Scientific Area(s): Bioinformatics, Biology, or related areas Work Plan and Objectives
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to disease. You will join a collaborative team working at the intersection of genetics, epidemiology, bioinformatics, and microbiome science to generate analyses that can change how we understand and
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development and to join a vibrant research community at the forefront of aging and longevity research. Additional Information about the Department of Genetics is available at: https://www.einsteinmed.edu
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the Weingarten lab at Harvard Medical School in Boston Massachusetts. Our laboratory works at the intersection of virology, synthetic biology, immunology, and bioinformatics to bioengineer high throughput methods
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for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking one postdoctoral fellow to join our dynamic
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molecular cell biology (using techniques such as cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, confocal and live cell microscopy), as well as bioinformatics