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Field
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Department! In this exciting role, you will report to the Chief Informatics Officer (CIO ) and lead your team to develop the next generation of software infrastructure to support data generation, analysis, and
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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, perform data cleaning. Develop machine learning algorithms, natural language processing tools, and end user tools. Develop and interpret MCMC models; develop meta-models. Analyze epidemiologic and
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combination of statistical, quantitative and qualitative methods. Extracts, manipulates, and interprets data using statistical software (E.g., SPSS, R) and SQL-based query applications (e.g., Cognos) Develops
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science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood biomarkers, and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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on the development and maintenance of advanced pulmonary CT image processing algorithms and AI solutions aimed at improving lung disease diagnosis and treatment. This role offers an exciting opportunity to contribute
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, including Ph.D. students and post-doctoral research fellows, and will have opportunities to contribute to new algorithm developments. Applicants should possess a Master's degree or higher in Bioinformatics
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* Conduct a literature review on algorithmic bias and its impact on marginalized communities. Create an annotated bibliography and develop a structured research paper outline. Draft key sections
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& AI hardware or brain-inspired AI algorithm development, spatial analysis of multi-omics data. We are particularly interested in applicants with a demonstrated track record of translating discoveries