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14 Apr 2026 Job Information Organisation/Company Łukasiewicz Research Network – PORT Polish Center for Technology Development Research Field Biological sciences Researcher Profile First Stage
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PhD Studentship: Development of a novel analytical platform combining laser-based techniques and multivariate data analysis for the characterisation of radioactive waste disposal materials The aim
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version control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer based neural networks for image analysis. Rules governing PhD students are set out in
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dynamics and vibration engineering - encompassing finite element modelling of floor systems, dynamic testing, modal analysis, signal processing, and familiarity with serviceability standards across steel
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This studentship is fully-funded by the Nuclear Threat Reduction network. The successful applicant will be welcomed into our world-leading research programme investigating key nuclear reactions
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machine learning approaches, particularly neural networks, and experience with workflow management systems (e.g., Snakemake, Nextflow). Knowledge of transcriptomics and alternative splicing analysis
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solidification strategy, enabling efficient and sustainable manufacturing across casting, welding, and additive manufacturing, and contributing directly to Net Zero targets. We are seeking a highly motivated PhD
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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, addressing engineering questions in how future electricity networks can remain stable and resilient as renewable generation grows. Grid-forming (GFM) control is increasingly recognised as a critical enabling
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the service life of infrastructure. The research content includes: real-time data analysis and modeling pipeline network dynamic prediction and state identification optimisation algorithm and high-performance