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Field
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Language Models (LLMs) and NLP systems. Experience designing APIs and system architectures. Knowledge of cloud computing environments (AWS, GCP, Azure). Experience with data modelling and ETL pipelines
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build meaningful partnerships. Working collaboratively within a collegial teaching team, the Lecturer will keep colleagues and students informed of emerging developments in cyber security, cloud computing
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge
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will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and
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priorities and institutional needs evolve. Minimum Qualifications PhD in Computer Science, Software Engineering, or a closely related discipline. Must have PhD conferred upon hire. Eight (8) years of relevant
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description La thèse s'inscrit à l'interface des probabilités et de la statistique. Les
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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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The Faculty of Engineering, Department Electronics and Informatics, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student with a doctoral grant
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. Proactively training postgraduate students and researchers in modern computational and data-driven approaches to chemistry. Evaluating and integrating emerging technologies (e.g., AI/ML tools, cloud computing