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excellent research combining statistical analysis, computational social science, formal modelling, and data-driven methods. Areas of particular interest include the quantitative study of geopolitical and
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. The objective is to produce an integrated approach in which computational methods become capable of formalizing forms of reasoning specific to the practices of historians and archaeologists. The first component
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course (PhD); motivation letter; Applications must be submitted, with the reference of the notice, to the email: [email protected] The contract draft and final report draf are available on https
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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
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of Manchester. You will be responsible for: Design and deliver mixed-method research on the adoption and impact of AI tools in a large complex organisation, under the guidance of the Principal Investigator
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We value creativity, intellectual independence and collegiality as well as formal qualifications, and recognise that excellent candidates may not meet every desirable criterion. We encourage
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, beginning August 2027. We seek a candidate with expertise in crime analysis, quantitative methods, and applied research, who can contribute to undergraduate and graduate teaching and support the continued
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent
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requirements resulting from the regulations on awarding funds for research projects financed by the National Science Centre under the SONATA 20 call; Holding a PhD degree in biological sciences, with a
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computer cluster. The successful applicant will also contribute to disseminating the results at conferences and meetings. Your profile You must have obtained a PhD degree in physics or a closely related