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Field
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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(e.g., R, SPSS, Stata). Ability to work independently and collaboratively within a fast-paced, multidisciplinary environment. A strong passion for global health and improving healthcare outcomes
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR
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interpersonal, communication, organizational, problem-solving, and statistical software skills (e.g., R). Strong background in quantitative data analysis and research methodology is preferred. Ideal candidates
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or equivalent experience in a research-intensive environment such as a university, national laboratory, or industry R&D. Hands-on experience with advanced semiconductor research infrastructure (e.g., cleanroom
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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optimization. • Proficiency in programming (Python, R, Julia, or similar) and experience with frameworks like PyTorch, TensorFlow, or JAX. • Prior research in statistical learning and online optimization
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reports and contributing to scientific publications. Strong verbal and written communication skills for presenting experimental findings. Additional Considerations: Previous experience working in an R&D
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written communication skills for presenting experimental findings. Additional Considerations: Previous experience working in an R&D or academic research environment. Experience with safety protocols