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for analysis of results and development of presentations and figures (e.g. MS Office) Preferred Qualifications: Familiarity with the Galaxy bioinformatics platform for running integrated workflows, generating
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Centre Network (MoHCCN). We also deliver bioinformatics analysis software and high performance computing services for the life science research community, including analysis pipelines used by multiple
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and data systems. Department Specific Qualifications Education: Master’s Degree in Information Systems, Computer Science, Bioinformatics, or a related field (as held by candidate). Master’s Degree in
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of computer science, e. g. computer science, data science, bioinformatics or a related field or in the natural sciences At least 3 years of professional experience in the planning, implementation and optimization
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, Oxford, OX3 7DQ, and is offered on a full-time fixed-term basis for two years. An early start date would be preferable for this role. About you You will hold a postgraduate degree in a bioinformatics
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. Preferred Qualifications Expertise in computational data analysis and familiarity with software platforms for image and electrophysiological data processing. Knowledge of bioinformatics, AI-driven phenotyping
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Research Center, the Institute for Healthcare Informatics and the New York State Center of Excellence for Bioinformatics and Life Sciences including the Buffalo Institute for Genomics and Data Analytics
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, bioinformatics, genomics, or related fields to work closely with Dr. Li on cutting-edge research in single-cell and spatial omics data analysis. Aligned with the lab's focus on enhancing analytical rigor and
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] Subject Areas: Statistics and Data Science(including Machine Learning, Actuarial Science, Mathematical Finance, Bioinformatics, Artificial Intelligence etc) Appl Deadline: none (posted 2024/12/03) Position
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addresses of three referees (if available) Online applications should be addressed to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node. Early