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to contribute to a project at the intersection of biotechnology, drug development, and computational analysis. Candidate will be involved in: Collaborating with computer scientists and engineers to develop AI
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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Officer will assist with data collection and analysis for research projects. Ideal candidates will have previous experience conducting health equity research and working in a team-oriented environment with
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Maximum: $93,180.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 19 hours ago
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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position in Differential geometry and Geometric analysis at the Institute of Mathematics. The appointment will be at the Tenure Track Assistant Professor level. We seek outstanding candidates with research
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, performing experiments with students and postdocs, analysis of imaging and electrophysiology data, contribution to scientific publications. Please submit your application online at https://apply.ista.ac.at
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are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is
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assists with departmental data analysis projects to inform decision-making and improvement opportunities. Expected Salary: $48,000 – 55,000/annually, commensurate with experience and experience https
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities