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for rapid, point-of-care diagnostics to address this challenge. This project aims to develop a novel diagnostic device, progressing from pre-clinical validation to clinical implementation. By leveraging high
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Addressing challenges related to high-dimensional parameter spaces and complex performance criteria commonly encountered in RBDO Developing robust computational workflows for optimizing designs while
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contribute to the development and optimization of the training pipelines for these large-scale models, working at the intersection of cutting-edge research and high-performance computing to advance
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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contract, there is a possibility for extension based on programme needs and performance. Job description As the Admissions and Recruitment Manager, you will be instrumental in attracting top talent, managing
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application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance
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Applications Starting date: Upon agreement (preferably, 2025 Q2) Duration: 1(+1) years, renewable based on performance and funding availability About the Position We are seeking a Postdoctoral Researcher to
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agreement (preferably, 2025 Q2) Duration: Yearly contract for 3(+1) years, renewable based on performance and funding availability About the Position The successful candidate will contribute
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(using a predefined script) Transcribe interview sections of the session video recordings Review transcriptions performed via tools (e.g., OpenAI Whisper) to ensure accuracy Organize and clean the
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. Bonus points: Published peer-reviewed articles on project-related topics in reputable conferences or journals Experience with network simulators such as OMNeT++ or ns-3 Experience with High Performance