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courses in Python (e.g. DCS 109D), and other additional upper level applied computing and/or data science courses within the broader DCS curriculum based on their area(s) of expertise. Candidates should
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support, utilizing pharmacokinetics database PK-DB and individualized patient data (more information: https://livermetabolism.com/atlas ) Requirements: - completed scientific university degree in (bio
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in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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research priorities and global health objectives. Where to apply Website https://www.itg.be/en/jobs-and-research-opportunities/postdoctoral-scientist-to… Requirements Research FieldBiological
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will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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encouraged to apply. High proficiency in written and oral English. Specific Requirements Good and demonstrable programming skills, preferably in Python (e.g. bachelor thesis, software development experience