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Field
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes
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“LASIGE”, “UID/408/2025”, “DOI: https://doi.org/10.54499/UID/00408/2025 ”, funded by the Fundação para a Ciência e a Tecnologia, I.P./MECI through national funds under the Strategic Funding 2025-29, under
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in those complex systems and related concepts. As part of this study, the researcher wilt be required to develop Python freeware to analyze and visualize graphs aiming towards explainability of dynamic
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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. This role is eligible for hybrid working with a minimum of 60% of time on site. For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and
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contexts. Basic Qualifications Ph.D. in areas such as statistics, biostatistics, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex
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experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and