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publications. Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Creates sustainable data science infrastructure and adheres to data
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data analysis tools (Python, R, or similar) for processing high-throughput sequencing or variant library data Professional Attributes * Strong record of scientific rigor, attention to detail, and
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clusters. 2-5 years. Experience with the installation, maintenance, trouble shooting of UNIX systems in a professional capacity required. 2-5 years. Experience with Python, bash scripting, and distributed
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, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based
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, including branching strategies, pull requests, and documentation-as-code. Ensure all analytical scripts (SQL, R, Python) are versioned, audited, and recoverable. Implement CI/CD (Continuous Integration
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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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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
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above academic fields are encouraged to apply. High proficiency in written and oral English. Specific Requirements Good and demonstrable programming skills, preferably in Python (e.g. bachelor thesis
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Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement A