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are interested in future wireless communication systems, particularly terrestrial and non-terrestrial networks (TN/NTN), and are motivated to develop expertise in areas such as satellite communications
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be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a separate layer. Particular attention will be given
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such as publication and patent data, and aims to enrich these with other sources on individual paths and preferences. The PhD candidate will have the opportunity to develop unique datasets and apply
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to 12 extra days through compensation hours. Flexible working hours, a home office allowance, and the option to work from home. Freedom and space to shape your work independently and develop your ideas. A
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to a total of 4 years is then possible provided the excellent performance of the candidate. Your future tasks: You actively participate in research, teaching & administration, which means: Synthesize and
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join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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disorder with debilitating effects on a patient's quality of life. Because current medications do not work well, we need to study its molecular cause to develop new therapeutics. Recent research identified a
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idea in more detail using novel genetic epidemiological techniques in large global biobanks. The student will train in 3 world leading centres and will gain skills in immunology, statistics and genetic
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on clinical complications, and use machine learning to develop and validate predictive models to identify high-risk patients. The research aims to individualise inpatient care, reduce hospital-acquired