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key strategic metrics, goals, and predictive analytics to improve the financial condition of the university, advance student learning, support the global network, and increase research. The Senior
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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communication, social media research, network analysis, and/or time series analysis. How to Apply (Closing Date: 30 September 2025) Interested parties are required to submit a complete dossier: A detailed CV
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analyse both existing panel data and newly collected survey data (e.g. with multilevel regression and longitudinal panel analysis). We will refine existing network measures to better capture inherited
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implementation of the sensor network in strategic tourist locations • Identification and analysis of installation locations based on historical congestion patterns. • LoRa coverage planning, including
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and problem-solving of e-resource product access issues Assists with data-gathering and analysis for resource renewals and new subscriptions. Assists the supervisor on projects (electronic packages
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within a Research Infrastructure? No Offer Description Doctoral researcher in choline research – part of a MSCA Doctoral Network on micronutrients in sustainable and nutritious diet Department of Food and
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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measurements at 18-digit accuracy using an optical clock network. Nature 591, 564–569 (2021). https://doi.org/10.1038/s41586-021-03253-4 [2] Chave, A. D. (2019). A multitaper spectral estimator for time-series
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
with word embeddings, semantic modelling, and/or network analysis Ability to work independently as well as collaboratively in an interdisciplinary environment Excellent written and spoken English