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                diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular 
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                of computational chemistry Position You work actively You work actively on the preparation and defense of a PhD thesis in the field of Computational Chemistry in the research group MOSAIC within the Department 
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                latency advantages over traditional multiple channel access techniques in such scenarios. As a PhD candidate, you are expected to perform the following tasks: You will conduct high quality research under 
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                patterning and key process steps High-speed analog/RF Neuromorphic computing Next-generation logic devices Novel memory concepts Quantum computing Data science and data security GaN power electronics Image 
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                proposals. Assist in the supervision of Master’s thesis students. Perform a limited amount of teaching activities (maximum two hours per week). Enroll in a doctoral training program at the Arenberg Doctoral 
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                , Biomedical Sciences, Bioengineering, or related fields. Enthusiasm for fundamental science and attention to detail. Motivation to work with an international team of PhD students, postdocs and technicians 
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                essential. The research focuses on developing strategies to control the temperature, geometry and composition of the melt pool, with the aim of achieving defect-free production of FGMs. Such high-performance 
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                of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-622 Is the Job 
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                the EU Research Framework Programme? Other EU programme Reference Number BAP-2025-620 Is the Job related to staff position within a Research Infrastructure? No Offer Description About the AQUAEra Project 
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                academic rigor and industrial relevance. Access to state-of-the-art sequencing, clinical samples, and high-performance cloud computing infrastructure. Training in cutting-edge computational biology, machine