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programming skills in Python. Hands-on experience with LLMs (via APIs or open-weight models), for example prompt design, or tool/function calling. Working knowledge of common bioinformatic workflows (e.g
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or scripting for data engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns
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engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns. Semantic modelling and business
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of the following technologies: Microsoft security Infrastructure and networking Windows and/or Linux administration Automation PowerShell Scripting Microsoft Graph API (nice to have) Additional experience is
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imaging platforms in the Center mapping data from multiple (imaging) sensors into a shared domain (i.e. sensor fusion) developing quantitative methods for analyzing microscopy data deploying automated image
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dementia. The project Under the supervision of Dr. Esther Klingler, and in close collaboration with the Verstreken and de Wit labs, the project will: map amygdala–hippocampal connectivity defects in mouse