44 coding-"LIST"-"EPIC"-"University-of-St"-"Humboldt-Stiftung-Foundation" positions at Carnegie Mellon University
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existing software artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others
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methods (e.g., SGTCCA-NET) for the project's needs. Develop and implement novel statistical approaches for multi-omics network analysis. Update and improve existing R code to incorporate methodological
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coding background (in Python or R) are preferred. Carnegie Mellon University in Qatar offers a competitive salary, travel, housing, and schooling allowances, as well as other benefits, including
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methods (e.g., SGTCCA-NET) for the project’s needs. Develop and implement novel statistical approaches for multi-omics network analysis. Update and improve existing R code to incorporate methodological
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momentary assessment surveys and monitor incoming data Train undergraduate research assistants Code video data using established coding systems (e.g., Ekman’s Facial Action Coding System; FACS; training will
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, program ecological momentary assessment surveys and monitor incoming data Train undergraduate research assistants, code video data using established coding systems (e.g., Ekman’s Facial Action Coding System
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, and maintenance. Documenting new designs, code, and modifications. Maintaining existing applications. Supporting business user questions/issues regarding applications and/or systems issues and
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, and maintenance. Documenting new designs, code, and modifications. Maintaining existing applications. Supporting business user questions/issues regarding applications and/or systems issues and
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team setting) or modifies existing software packages to met specific research needs. Documents new designs, codes and modifications. In consultation with project managers, principal investigators and
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interaction, with application to medical research and affective computing. Responsibilities: • Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning