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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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) Experience with packages such as Seurat, bpCells, ggplot2, tidyverse, dplyr, and others for visualization Fluency in Python using Visual Studio Code and Jupyter Notebook, mainly with libraries like pandas
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group and Responsible Artificial Intelligence group at the Department of Computing Science. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research
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include designing and implementing full-stack applications, spanning backend services, APIs, and open-source software, with a primary focus on Python-based, scalable, and robust systems deployed in cloud
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the future. https://nusit.nus.edu.sg/ Job Purpose Build intelligent, scalable applications by leveraging AI tools throughout the development lifecycle—from requirements analysis to deployment. Design and
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Tableau cloud for scenario building and forecasting. Assist with staff usage of Tableau features. Support user adoption of Salesforce. Utilize Python scripting to solve various tasks accurately and
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Commons and Islandora Experience automating Drupal via Drush and developing custom modules Experience with object-oriented programming languages such as Python, PHP, Java, and JavaScript Experience with
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biochemistry, medicinal chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https
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mathematics, data science, statistics, computational biology, or a related field. • Proficiency in one or more programming languages, including but not limited to Python, R, C++, Stan, etc. • Excellent written
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teaspoon languages, writing programs in the Snap! programming language (https://snap.berkeley.edu/ ), and learning to transfer their knowledge to industry standard notations like Python, Processing, and HTML