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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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10 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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how these are associated with training load and indicators of low energy availability. The PhD candidate will work with a large and growing dataset including: performance testing (roller-skiing, running
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of large-scale nutritional data within an epidemiological context. Post 1 (Micronutrient status) will analyse and model micronutrient status biomarker data from epidemiological surveys and cohorts (Professor
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inference, phylogenetic analysis, or machine learning pipelines depending on profile). • Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets. • Develop data
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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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architectures, and synthetic datasets that integrate experimental X-ray scattering data. System Stability: Ensuring numerical reproducibility and stability in large-scale distributed training workloads. Learn
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. Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found