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of organoids in 96-well plates R and Python programming from YAML in VS Code Statistical analyses using mixed models Personal Skills The candidate should demonstrate: A genuine service-oriented attitude, good
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desirable. Basic background in MR physics and neuroscience is desirable. Good knowledge of Matlab or Python is a strong advantage. Ability to collaborate with others is a must. About you The candidate should
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background with hands-on Python skills. Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods. Experience with materials, manufacturing
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machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation, constrained or Bayesian
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software that automates one of the world's leading research and education networks. The role combines Python software development with deep networking knowledge and hands-on work in Cisco NSO, YANG, XML
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the development and validation of multi-scale fracture mechanics models. In this role, you will bridge numerical simulation with physical experiment, developing automated Python workflows, running
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into a working MVP fast enough to support the next grant application round. Main duties and responsibilities Rebuild the RVI scoring engine as clean, standalone Python code, implementing the validated
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Postgres, MySQL, Oracle, SQL Server; Network file systems including NFS, SMB/CIFS; Basic application development using computer languages such as Java, Python, Perl, Ruby, C, C++; Basic web development using
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students in specific subjects and courses. We also have limited positions available for tutors to assist students in learning strategies and computer software programs, such as Adobe Illustrator, Python
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both written and spoken English and Chinese; (c) have extensive experience in using statistical software, such as Stata, R or Python; (d) have strong interpersonal, communication, organisational