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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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equivalent foreign degree, obtained within the last three years prior to the application deadline Experience with simulation frameworks, system-level performance evaluation, or machine learning, is highly
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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area networks (WAN), cloud networks, and other data communication networks. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122577 . Applicants must submit a
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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Machine Learning within the School of Medicine at the University of Limerick. This is a methodologically focused PhD for candidates with strong quantitative backgrounds who wish to develop novel statistical
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memory safety, supply chain security and machine learning Independent teaching Student supervision and academic publications Training and professional development Organisational and administrative duties
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willingness to acquire advanced longitudinal and machine-learning methods. Programming skills in R (or a demonstrated ability to acquire them quickly). An interest in working with large, real-world data from
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those interested in work on machine learning, participating in our analysis of ground-based telescope and gravitational-wave data to study multi-messenger, transient objects by building machine learning
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1 Sep 2026 Job Information Organisation/Company Champalimaud Foundation Research Field Technology Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 30 Sep