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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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. English is the working language in both groups. The postdoc will have access to scientific mentoring, international networks, high-performance computing resources and close interaction with experimental
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skills in scientific computing and hyperspectral data processing. You have excellent written and spoken English skills and you communicate your results clearly to both technical and non-technical audiences
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible data analysis
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. Scientific computing and reproducible research workflows. Statistics, machine learning, artificial intelligence, optimisation, uncertainty or scenario analysis. International trade, production facility
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University of Southern Denmark (SDU) Location Odense, Fyn (DK) Salary Competitive Closing date 7 Sep 2026 View more categories View less categories Discipline Computing Job Type PhD Position Employment
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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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change hold. Persuading colleagues is part of the craft here, not an afterthought. Publish in leading venues for computing education research, and present internationally. Required scientific
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Discipline Computing , Engineering , Life Science Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from
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programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass