867 data-"https:"-"https:"-"https:"-"https:"-"https:"-"IRIBHM-ULB" positions at Nature Careers
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and ownership of processes that involve animals, but are not data driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a
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responsibility and ownership of processes that involve animals, but are not data driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a
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technologies. Responsibilities: Design and optimize genome editing strategies for custom cell lines Develop and troubleshoot CRISPR-based approaches Analyze and interpret experimental data; present findings
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(GPM) and St. Jude Global. Develops and reviews contracts to identify and interpret appropriate data for system entry, maintenance, retrieval and archiving. Provides ongoing assistance and support to GPM
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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-based workflow including Spatial GSA and statistical methodsEnhance monitoring accuracy and validate numerical models using field data The Doctoral researcher will be supervised by Prof. Lavasan, and will
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the Physical Review portfolio. Help select and briefly summarize papers to highlight. Keep up with current and emerging physics research, and communicate such information with editors across the portfolio
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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design (up to 5 pages) Teaching statement that summarizes the applicant’s experience in and approach to training and mentoring and teaching philosophy (up to 1 page) The names and contact information for 5
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely