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Description The John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics at Harvard University seeks applicants for a postdoctoral fellow in Electrical and Computer
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well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated ability in developing software solutions to technical
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stress-strain characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently
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context. Competence in multivariate statistical analysis, particularly PCA, 3D PCA, or other dimensionality reduction methods for integrating complex, multimodal datasets. Experience working with limited
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for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We hope you will apply for the position with us. We
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). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found
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experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results
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, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex data, including through computational and statistical tools as needed, interpreting
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, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in
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to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction