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in development to ensure the materials are safe, affordable, and user-friendly. The project will also explore behavioural drivers, incentives, and innovative business models to stimulate adoption
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aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as well as machine
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improvement of IT program and project execution across the institution. Ensures that approved programs and projects are executed consistently, predictably, and in alignment with institutional standards and
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the design, integration, and optimization of financial information systems and controls. This role develops dashboards, conducts financial audits, and creates predictive models to support PME’s long-term
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who works at the intersection of numerical methods, scientific computing, and data-driven modeling. The position is devoted to the development, analysis, and implementation of flexible, tailored, and
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elements in bacteria. The post holder will take a leading role in large-scale bacterial genome data acquisition, quality control, annotation, and network-based comparative genomic analysis. These activities
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efficiency and supports high-performance machine learning, AI-driven predictive modeling, and advanced clinical analytics. Job Responsibilities: Data Consolidation & Management: Clean, manage, and consolidate
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the main objectives are: i) evaluation of the resilient and long-term permanent deformation cyclic behaviour; ii) evaluation of quality control parameters; iii) constitutive modelling geotechnical parameters
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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found on the following websites: ESA - What is PANGAEA? ESA - What is CAVES? Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic