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PhD in Artificial Intelligence, Digital Methods and Social Science. Apply Vacant position PhD in Artificial Intelligence, Digital Methods and Social Science. Aalborg Deadline : 09.08.2026 Department
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PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Apply Vacant position PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Aalborg
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PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Apply Vacant position PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Aalborg
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PhD Scholarships in Engineering of Quantum Light Sources and System Architecture for Photonic Qua...
(PHOTONIQC),” Grant Agreement No. 101312868, which will employ a total of 15 PhD students in seven countries working in close collaboration on distributed photonic quantum computing. You will
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the position. Your work tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with
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as possible thereafter. The successful candidate will develop new theoretical frameworks and computational methods to investigate the fundamental limits of polariton-mediated inelastic electron
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multicomponent inorganic energy materials. Use molecular dynamics, lattice-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and
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for Robotics Employer Aarhus University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 22 Nov 2026 View more categories View less categories Discipline Computing , Engineering
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations. Investigate how defects and correlated disorder
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-energy infrastructure and the rapidly expanding infrastructure supporting data centres and AI computing. These cases will be analysed within a common methodological framework to examine how infrastructure