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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education
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architectures, while also being in line with the Open RAN initiative; Novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources. In
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and responsibilities: Testing of the microscope's components to assure full functionality. Installation of the system. Adapting the control electronics and software for optimizing user-friendly
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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prediction framework that enables the autonomous self-configuration of swarm computing within the 6G infrastructure, ensuring high availability and SLA compliance through continuous, data-driven optimization
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Feb 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 30267130006 Is the Job related to staff position within a Research Infrastructure? No Offer
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Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 30267100022 Is the Job
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through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101073266 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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. Working closely with partners in the IMPRESS project, you will analyse their materials and provide valuable insights to help optimize device performance. Additionally, you will support collaborators by