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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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interventions). They will also assist in research project administration and reporting, data analysis, and actively contribute to research outputs and grant applications. Key skills required: (Level A) PhD in
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Familiarity with statistical analysis and interpretation of experimental data Experience in scientific writing, especially for publications and third-party funding applications Proficient English and, ideally
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in discovery projects. Coordinate research study activities: lead and manage projects. Oversee organization, synthesis and analysis of data and findings. Prepare scientific reports, outcome findings
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research studies, procedures and protocols. Participate in discovery projects. Coordinate research study activities: lead and manage projects. Oversee organization, synthesis and analysis of data and
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conductivity (e.g., laser flash analysis) to benchmark against application-specific requirements. Data collected will inform iterative process modifications and material improvements. 3. Experimental Design
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interpret figures, and presentations (oral/poster). Contribute to manuscript preparation, grant proposals, and dissemination of research findings at national and international conferences. Data Analysis
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 7 hours ago
of innovative technology solutions. Assignments will require technical and economic research involving data analysis, regulatory analysis, and modeling. You will learn by assisting with producing this research
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(in vitro and/or in vivo). • Proficiency in relevant software for data analysis and structural visualization. • Experience with in-silico discovery of antimicrobial