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of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
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experience in functional area within Data Science and/or Computational Research. Experience managing mid-large teams with focus on both achievement of objectives as well as critical skill-building. Experience
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programs and initiatives. Use data-driven approaches to inform decision-making and drive continuous improvement. Support data collection and review required for accreditation. Preferred Background: Education
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applying foundational methods for the synthesis of large genomes, specifically the human genome. For further background information see https://www3.mrc-lmb.cam.ac.uk/sites/synhg/ and Zürcher et al. 2023
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international reputation in Astrophysics. An excellent research profile at the interfaces of astronomical observations with substantial experience in the use of large telescopes, advanced analysis of large
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analysis and quality control on large data sets Perform preparative work for behavioral experiments, such as fly crosses and fly sorting Prepare solutions and perform other routine lab chores as required
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Your role We are seeking a coordinator to oversee incorporation of the increasingly large volumes of eukaryotic genome data into Ensembl. You will provide leadership and vision for our eukaryotic
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(large scale heterogenous data synthesis, meta-analytic studies, conceptual synthesis) Experiences and interests in shaping modern team science research and interest in super-visioning & coordinating
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group: MARIANNE (https://team.inria.fr/marianne/). The MARIANNE project-team pursues high-impact research in Artificial Intelligence with a focus on data and models for computational argumentation in
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experience in programming and working with large-scale data; expertise in machine learning is a strong plus. Ability to work in a highly collaborative and interdisciplinary environment. Experience implementing