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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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. You have strong interest in communication networks, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical
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improve malaria surveillance and control. Given the multidisciplinary nature of the project we welcome applications from candidates who hold a PhD in a range of fields including computer
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clinicians and leaders for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
distributed cloud storage systems and cloud computing services. · Experience in HPC (including heterogeneous architectures). · Strong interpersonal and communication skills and the ability
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress
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19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Networks Data Science Group Research Field Computer science » Other Researcher Profile First Stage Researcher (R1
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Scotland Innovation Hub to provide a secure cloud computing platform for Federated Learning and Machine Learning model development, and clinical researchers from NHS Greater Glasgow and Clyde. The successful
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational