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analysis - information provided in the CV and/or in the motivation letter; d.) Experience in paper or report writing, and presentations - information provided in the CV and/or in the motivation letter; e
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communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders At least one first-author publication in an internationally
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 7 days ago
) analysis and develop bioinformatic skills to analyze large sequence data sets. You will understand the complexities and application of NGS to inform on viral diversity and vaccine development. The acquired
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field data and controlled experiments. Insights from the project will have practical applications in pest control and livestock management. The candidate will be encouraged to develop, simulate and
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: Experience with microbiome or multi-omic data analysis, causal inference methods, or infectious disease epidemiology Why This Role Impact: Contribute to research informing the prevention of urogenital
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and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional skills needed
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to play an active role in the collection and analysis of data from this study, and to assist with writing up reports for publication and dissemination. About You Candidates must have a medical degree (MB BS
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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and non-compliance, analysis of heterogeneous effects and interference; Designing lab experiments, field experiments, and/or surveys; Programming/scripting knowledge suitable for processing raw data