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Field
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& solving the world’s problems Based at our University Mine - Indooroopilly About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from
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domains such as business intelligence, data mining, process mining, conceptual modelling, model-driven engineering, and smart learning environments. Research projects in these domains are focusing both
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, structural equation modelling, and data mining methods. Fluent oral and written communication skills in English. The following qualifications will count in the assessment of the applicants: Familiarity with
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responsible for investigating data-driven methods to establish a flexible framework aimed at synthesizing the output of flow diagnostics in physically-interpretable control models. Data mining, manifold
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design, sampling, programming and administration of survey questionnaires and survey experiments Competence in digital data mining and textual analysis, or willingness to learn Competence in data
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 3 months ago
10 Apr 2024 Job Information Organisation/Company Ecole Nationale Supérieure des Mines de Saint Etienne Research Field Other Researcher Profile First Stage Researcher (R1) Country France Application
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Requirements Required Knowledge, Skills, and Experience: PhD in Economics, Mining Engineering, Mechanical Engineering, Environmental Engineering, Material Science, Systems Engineering, Logistics/Supply Chain
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16 May 2024 Job Information Organisation/Company Western Norway University of Applied Sciences Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Norway
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Postdoctoral Researcher Posting Number NFE02285P Department SDSMT-Nanoscience and Nanoengineering 1 Physical
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the data taking of both phase-diagram measurements and with TPC. Simulation and data analysis for inferring Xe-doped LAr response model. Supervision of PhD students and trainees. The successful candidate