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candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python). Job Duties Plans, directs and conducts research
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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human omics (preferably related to neurodegeneration) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance
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, dimensionality reduction, clustering, trajectory modeling) Lead reproducible analysis pipelines in R, Python, or related frameworks Interpret results in biological and clinical context, with emphasis
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform
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communication and organisation, with demonstrable ability to meet deadlines. Confident in statistical analysis with R/Python/Matlab or similar Specific Requirements Strong research profile in field aquatic
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, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across cities; Examine similarities and differences in urban