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independent thinkers, curious and intrinsically motivated, with a passion for basic research. Postdoctoral fellows in the lab bring or learn diverse tools, including: Protein expression and purification
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to work within a team environment. Adaptability to a fast-paced, dynamic environment. Multitasking essential. To learn more and apply, please visit: https://careers.dana-farber.org
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interest in methods development Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing
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doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. This program offers
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databases into high-throughput pipelines, and facilitate the display and the distribution of processed data. Related projects and responsibilities will include: Creation of machine learning algorithms
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to guide experimental design and validate computational predictions Develop innovative machine learning and statistical models to characterize epigenomic heterogeneity and treatment resistance mechanisms
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-biology/genomics/. The Genomics group works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models
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lines, electrophysiology, sensorimotor behavioural tests and machine learning. The project will include designing and running experiments, recording, analysing and writing up results. The postholder will
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bioinformatics facilities already available in our Centre together with substantial investment in bioinformatics staff, data storage and computer processing power. TRACERx has been highly successful, as of 2023
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Carlo approaches to model biological system behavior. Use machine-learning and data-mining approaches to guide the synthetic biology process. Develop new machine-learning algorithms. Combine machine