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experiments, data analysis, and interpretation are required. Basic knowledge of working and analyzing large data sets, such as bulk and single-cell transcriptomics, is highly desired. Others: Candidates, with
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, large language models, AI agents, and 3D reconstruction techniques to generate structured digital representations from multimodal data and support infrastructure monitoring, management, decision-making
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this. Experience of project-managing large, multi-centre clinical trials is essential. We are seeking a candidate with a proven track record of working within the oncology research field, possessing a deep
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Experience analysing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets Machine Learning & AI: Train
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commitment to working with highly engaged students. Exceptional attention to detail, organizational skills and ability to handle confidential information with integrity. Flexibility to adapt and improve
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adversity Analyse data, assess different perspectives, and draw well-founded conclusions Be flexible and open to adjusting the project plan as necessary Requirements for proficiency in English This position
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for candidates who integrate Large Language Models (LLM) at scale in their research within economics and finance, e.g. for text analysis or data generation. As a Postdoctoral Fellow you will be given
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are exempt based on HK-dir's GSU list We offer a PhD education in a large, exciting and societally important organisation an ambitious work community which is developing rapidly. We strive to include employees
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. This model was manually history matched to seismic, production and pressure data from the field history over 40 years. There is roughly 50% of the oil left when the field is planned to close in 2028. The focus
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periods of sitting at a desk and working on a computer. The role frequently involves attending in-person meetings, presentations, and events, including moving between buildings on campus. The employee must