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to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other laboratory members with expertise in epidemiology, bioinformatics
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Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID promotes cooperation
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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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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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. market access. The approach will include metagenomics and bioinformatics to understand genetic diversity of the pathogen. Learning Objectives: During this project, the participant will be involved in
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20231097F Position Title
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also be subjected to droplet microfluidics, one of the most promising high-throughput methods for effectively processing the MIP-probe-positive individual cells for RNAseq analysis by using our standard
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: Bioinformatics Recipient category: The open position is intended for students enrolled in an integrated master's degree or a master's degree. Requirement for granting the fellowship: The applicants may apply
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Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
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Perform bioinformatics analyses and test different ecological processes that govern microbiota community assembly and resilience Flexibility and adaptability to working cross-sites UoBRL (BMEC and QEHB