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Field
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LevelMaster Degree or equivalent Skills/Qualifications Your profile Master’s degree in aerosol science or a related field Experience in measurements and data analysis Excellent command of English Ability
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components has recently grown considerably. These devices, aiming at controlling and coupling fundamental properties of light and electronic transport, are expected to represent a major technological
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-related proteins. The successful candidate is expected to contribute immediately and independently to ongoing research projects with minimal additional training. Duties • Design, perform, and optimize
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19th April 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Hard Rock Geothermal Drilling and AI-Driven Drilling Optimization - IV-21/26
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great extent. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
applications, · test and optimize the developed software, · work in the team under national and international projects, · collaborate on publication activities of research outcomes. Full time equivalent: 1,0
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 17 days ago
solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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Spectroscopy (XSVS) to data analysis. Simulate GHz speckle experiments to assess and improve developed methods, as well as to optimize experimental parameters. Participate in relevant experimental activities
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3.5-year D.Phil. studentship Project: Optimization for real-time electricity grid operations Supervisor: Jack Umenberger This project concerns real-time balancing of energy in the electricity grid
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drilling data, digital‑twin methodologies, and AI‑driven optimization approaches to address fundamental challenges in hard‑rock drilling. As a PhD candidate, you will benefit from close supervision, access