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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention
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, have strong skills in statistical analysis and data management, and prepare research findings for publication. Experience of interdisciplinary research, and/or working with relevant stakeholder groups
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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive
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to preventive interventions, decision support to implement mental health interventions, longitudinal data analysis, machine learning/NLP/AI, integrative data analysis, and related grant writing. This candidate
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unique opportunity to work on a cutting-edge project involving multiomics data analysis of myeloma genomes, focusing on structural variants and heterochromatin rearrangements. You will have the chance to
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing
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responsibilities will include working within clinical researchers associated with the project, taking responsibility for completion of data analysis, and helping with the supervision of PhD students working
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include securing IRB approval, conducting Q-set analysis, and creating outreach materials. The associate will mentor research assistants, ensuring high-quality work and collaboration across the project