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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
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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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, 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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higher education setting. Experience collaborating with data analysts and developers. Experience with query tools or languages such as DAX, Power Query, Python, R, or SQL. Experience with ibi WebFOCUS
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
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: Currently enrolled master’s student in computing, informatics, data science, biomedical informatics, or a closely related discipline. Intermediate to advanced proficiency in Python and SQL. Experience
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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) Proficiency with SQL and its variants (e.g., PL/SQL, T-SQL, etc.) Proficiency in programming/scripting languages (e.g., Python, Java, PowerShell, etc.) Proficiency in data engineering technologies and tools