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developed algorithm, pipeline, or database with application to multi-omics or image data (e.g., a Python package on PyPI or an R package on CRAN/Bioconductor). Proven experience in disease research, with a
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About the Opportunity Job Description: The Open6G group at the Institute for the Intelligent Networked Systems (INSI), Northeastern University, is leading research and development, testing and
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, and downstream decisions, and to study how agentic reasoning can navigate trade-offs between interpretability, statistical reliability, and computational feasibility – and to develop principled criteria
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software development team A published example of a developed algorithm, pipeline, or database with application to multi-omic or image data. Ideally an R package in CRAN or Bioconductor. Demonstrated ability
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. More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About the Mechanical Engineer role: You will be a general-purpose engineer
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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systems in professional newsrooms; algorithmic accountability and transparency reporting; or related areas that advance the ethical and effective use of data in journalism. Strong candidates will be fluent
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Connectivity for Demanding Markets. Within the faculty of Engineering and Architecture, the IDLab research group (https://idlab.ugent.be/home) performs research on internet technologies and data science. In
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities