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, analytical, and data-driven approaches, preparing publications and presentations, and contributing to the broader scientific mission of the BarabásiLab. The associate will also engage in mentoring and
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, big data analytics, and health campaign formative and evaluation research are preferred. Candidates from diverse backgrounds, including those from groups that are underrepresented in health-related
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manipulations. Assay Development: Support the development of cellular and biochemical assays to complement in vivo findings. Data Analysis & Interpretation: Analyze complex datasets from in vivo and in vitro
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About the Opportunity Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows
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any prior working experience. We expect postdoctoral fellows to establish and advocate for best practices in scientific reproducibility of all results and to promote the ethical use of data and
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opportunity to work collaboratively with other functional areas within Ironwood, including global patient safety, clinical development, medical scientific affairs, program management, data sciences, quality and
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applying biochemical, microbiological, and analytical approaches to identify novel natural product scaffolds and elucidate their mechanisms. Key Responsibilities Design and execute microbiological
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. Responsibilities The fellow will play a collaborative and leadership role in project design, study implementation, analysis, survey construction, data collection, data analyses, preparation of publications and
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, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that are related to AI and the life sciences. These may include
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to complement in vivo findings. Data Analysis & Interpretation: Analyze complex datasets from in vivo and in vitro experiments; present findings to cross-functional teams and industrial biotech. partners