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application.pdf English (156.47 KB - PDF) Download Additional Information Website for additional job details https://batir.polytech.ulb.be/jobs1/phd-position-integrating-large-scale-geothe… Work Location(s) Number
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, administrative and archival data, GIS, and qualitative field research in Colombia, DR Congo, and Sri Lanka. More information is available at www.wareffects.eu . The position is a full-time, three-year PhD
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Interact with national and international teams of mathematicians and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates
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within a Research Infrastructure? No Offer Description Topics In the Computer Systems Lab, we aim to hire multiple PhD students on national and international research projects in the domain of man-at
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at the local level, within households, communities, and local politics. The project combines large-scale surveys, survey experiments, administrative and archival data, GIS, and qualitative field research in
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strategies to this end. Information This research project is part of the EmPowerED project, which aims to accelerate and scale up the development of Positive Energy Districts (PEDs). PEDs are urban areas
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project that investigates language-related degree-awarding gaps in Dutch higher education. Are you interested in using big data for investigating the role of language in education, and in conducting team
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-dimensional and big data analysis related to spectral imaging. • Data management and dataset creation for AI training. • Programming skills in Python, Matlab, or similar platforms. • Scientific writing
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for the benefit of Swedish society and industry. Project description This PhD project is part of the interdisciplinary WASP-DDLS NEST project AID4BC , which has the overarching aim of advancing data-driven
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technology developers and stakeholders. Conducting prospective environmental impact assessments (LCA PhD) or dynamic MFA and circularity analyses (MFA PhD). Collaborating with consortium partners on data