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OPTIR (preferred), Raman, or IR microspectroscopy - Expertise in multivariate statistical methods used for evaluating vibrational spectroscopy data (OPTIR Preferred), including chemometrics, adapted
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply
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of the relevant fields. Preferred skills: Previous experience in computational ecology and statistics. R or Python. Statistical analysis tools such as NIMBLE, JAGS or STAN. Familiarity with data processing, quality
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genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The Research Fellowship is associated with CREATE’s research strand 2
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have experience in epidemiological research using multivariable statistical models. Applicants must document strong oral and written English skills. Nordic applicants can document their English
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and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications Ph.D
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methodological innovations that bridge the gap between computational theory and impactful clinical application. We are seeking a highly motivated individual with a strong statistical and machine learning
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
activities by conducting statistical analysis of existing datasets and advising on prospective studies. In particular the applicant will contribute statistical expertise to the NIH-funded project “Human
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kā wheako Must possess a post-graduate degree in pharmacy, pharmacology, toxicology, public health, or related discipline. Advanced experience analysing quantitative health data using statistical