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24th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Distributed Machine Learning Apply for this job See advertisement This is
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candidate will have a background in architectural design and a promising research agenda in the area of tectonics and building technologies (e.g., architecture and structure, materials and methods, building
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steps in Hamburg, please see: https://www.uni-hamburg.de/piasta/beratung/doc/willkommen.pdf . Structured research and supervision Yes Research training / discussion Yes Career advisory services and
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problem. While applicants interested in any of the fields of research supported at CCQ will be considered, preference will be given to scientists whose research interests combine electronic structure and
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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Development, Operating Systems, Networking, Cybersecurity, System Analysis and Design, Human-Computer Interaction, Artificial Intelligence, Software Construction, and Software Requirements Analysis. New courses
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willingness to work with and expand our reach to diverse audiences. Ability to effectively communicate and speak publicly. Knowledge of the principles, theory, research, and application of youth and family
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awards for supporting the advancement women in professor ranks and to leadership positions. The Department has structured processes to develop academic professionals from all backgrounds and all areas
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. Promote and support student recruitment, retention, and successful program completion through proactive outreach, including phone calls, electronic communication, and use of institutional technology tools
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nanoparticles, cell survival and radioresistance. The MS-RADAM research programme combines state-of-the-artc omputational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics