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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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HPC ecosystem where knowledge knows no boundaries. The EVITA consortium's primary objective is to establish and maintain the EuroHPC Virtual Training Academy with a robust governance structure, high
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Debugging: Developing mechanisms for synchronized state tracking across multi-core/multithread RISC-V architectures, ensuring consistent register states, memory coherence, and excep-tion handling during
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in investigating gene function in Plasmodium falciparum using targeted gene knockout strategies and multi-omics approaches. They will be self-motivated and collaborative with good problem-solving
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will apply a multi-disciplinary Team Science approach to deliver fundamental new insights into the role of S-acylation in cell physiology. The successful candidate will join an ongoing research program
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tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI
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interdisciplinary research center within UM6P that spans multiple academic programs. CRSA focuses on addressing food and water security challenges in Africa, with a particular emphasis on the use of multi-source
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. We will apply a multi-disciplinary Team Science approach to deliver fundamental new insights into the role of S-acylation in cell physiology. The successful candidate will be embedded in a structural
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administrative and data quality assessment tasks related to study administration. Responsibilities include, but are not limited to, tracking medical record release form and medical record receipt status, data
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Professor Hing Leung and the wider multi-disciplinary research team. We are looking for candidates with experience/strong interests in learning some of the following: deep learning, medical imaging, and