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the motor design can be modified to make the windings in the machine more robust against thermal variations or mechanical vibrations. The work includes a significant experimental part, i.e. making prototypes
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large areas and in dynamically changing contexts. You explore new opportunities for wireless audio use cases enabled by the localization capabilities of wireless technologies. The focus will be
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) is seeking a highly motivated PhD candidate to work on multitemporal terrestrial laser scanning for better understanding forest structural dynamics. YOUR JOB Forest ecosystems play a crucial role in
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spatio-temporal analysis based on big geospatial data. The PhD student will work closely with Prof. Haosheng Huang (https://users.ugent.be/~haohuang/ ) and Prof. Christophe Vandeviver (https
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articles, resulting in a PhD dissertation; Present findings at (inter)national meetings/conferences; Contribute to the wider work of the Data2Action project Contribute to educational activities
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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the following BOF-funded interdisciplinary research project: “Computer Vision Metrics for Objective Evaluation of Surgeon Performance in Robotic Pancreatic Surgery”. The candidate will work as a Research
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-catalysed coupling reactions for preparing interesting basic molecules for the pharmaceutical industry. The methodology's tolerance to functional groups will allow ‘late stage’ functionalisation to be
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constraints that academic staff and students face within the European and/or Palestinian context. Within this project, you will work on a PhD for 90% of your time. The remaining 10% you will support the
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neuromodulation technique capable of targeting deep brain structures in a non- or minimally invasive manner. You will play a central role in the preclinical research activities of the project. YOUR JOB Perform