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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position in AI-Driven Copper Enzyme Research The Faculty
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Deadline 20 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description What you will be doing For the TKI funded
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for personal and professional further development. A structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 2 months ago
of Contract Temporary Job Status Part-time Offer Starting Date 15 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 54/08/25 Is the Job
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Dr. Redmond Smyth's laboratory
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Research Framework Programme? Other EU programme Reference Number 101131765 – EXCITE2 Is the Job related to staff position within a Research Infrastructure? No Offer Description NOTICE OF THE OPENING
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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aerodynamics, gust interactions, and fluid-structure interactions. The research focuses on unfolding the origin and development of unsteady flow separation and vortex formation. The lab has built a reputation
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and