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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can
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of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ UiO is subject to the Security Act, which governs
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21 Aug 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Earth Sciences Research Field Chemistry » Biochemistry Chemistry » Analytical
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assessment, smart sensor integration and data analytics, water quality dynamics in transport systems, integration of green infrastructure, and sustainable urban drainage systems Dissemination – Publish in high
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/departments-staff/human-resources/benefits-retirement
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: https://admin.kuleuven.be/rd/doctoraatsreglement/en/phdregulation-set A full-time doctoral scholarship for four years, subject to positive evaluation, and a PhD degree in Engineering Science upon
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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, publications, honors and awards), departure dates, and career progression of former trainees. Define and employ information technology for record keeping, data analytics, survey/evaluative assessments and
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application! Work assignments You will join the research project Countering Bias in AI Methods in the Social Sciences, a collaboration between the Institute for Analytical Sociology (IAS) at Linköping
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is