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programming language) are a prerequisite, due to the large amount of data that will be generated during the field campaign . Given the interdisciplinary nature of the project, the candidate must show ability
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the project uses large-scale social media data to measure the extent of secondary victimization in high-profile cases of gender violence. Then, using administrative crime data, the project estimates the causal
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supervisors, forming a consortium of seven beneficiaries (see above) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https
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Assistant/Associate to join a large, multidisciplinary team working on the EQuIP-IN study (Enhancing Quality of Life Through Innovative Social Care Pathways for Independent Bathing). This is an exciting
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project Large Language Metabolic models; 2024.16864.PEX, financed by national funds through the Portuguese foundation for Science and Technology (FCT I.P.), published on the Euraxess portal, with
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the role involves leading the organisation and delivery of our large‑scale interview process, coordinating over 1,000 interviews and recruiting and training more than 300 interviewers. You will also
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supervisors, forming a consortium of seven beneficiaries (see above) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https
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candidate to the role of Operations Assistant. The candidate will provide bespoke, professional and accurate information to applicants, students, staff and third parties on the array of queries and tasks
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jet weaving with supersonic flow, elastohydrodynamic lubrication and other phenomena in narrow gaps, blood flow in large arteries and the heart, and other cases. YOUR TASKS You will be doctoral
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timely by providing policy-relevant information for climate resilience planning in the water sector. The core of this project is a controlled simulation experiment using simulation outputs from climate