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language (preferably R). Experience in statistical data analysis and visualization. Knowledge of salmon and salmon physiology The ideal candidate will combine the following personal qualities: Hard-working
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required. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship Within the Strategic Initiatives Team, you will contribute to: Conducting strategy
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applied to data science (e.g., R, Python, Bash, and SQL, among others) for processing, statistical analysis, and workflow automation. Practical experience in the processing, analysis, and visualization
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assemblies in sperm in a near-native state using cryo-ET (‘visual proteomics’), (ii) developing expansion microscopy approaches for robust labeling and higher-throughput mapping of newly identified components
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technique proficiency in programming using Visual Basic, Python ability to use data analysis software: e.g. Matlab, ImageJ, Igor-pro, WSxM and for writing publications Latex proficiency in English motivation
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Department of Library and Information Science seeks part-time lecturers for its
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on the technical execution of research projects. Provides knowledge in the areas of transportation planning, rail network analysis, business case development, and data visualization. Supports day-to-day operations
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management, inventory management and non-catering facilities management. The appointee will have to supervise a team of about 25 to 30 professional/supporting staff. More information of the Finance Office is
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management Collaborating with lab members and external consortium partners on multi-omic data integration Assisting in the development of custom tools and visualization approaches for biological discovery
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a postdoctoral fellow at the University. The individual cannot have held previous positions in the professional ranks. Preferred Qualifications Experience with NGS data analysis and Linux based HPC