20 density-functional-theory PhD positions at University of Southern Denmark in Denmark
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Molecular Biology , University of Southern Denmark , Odense. The position is available for three years from November 2025 or as soon as possible thereafter. Research Project and Role As a PhD fellow you will
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autonomous, energy-efficient, high-density BCIs. The PhD student will work on designing and testing all parts of this system, focusing on making it small, power-efficient, and suitable for medical or wearable
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Job Description The Centre for Software Technology (CST), part of Maersk McKinney Moller Institute in the Faculty of Engineering at the University of Southern Denmark (SDU), invites applications
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) to analyse the role of individual responsibility in a theory of extreme wealth morality, and (3) to evaluate the moral obligations of the extremely wealthy in a society with existing injustices. The project is
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students to work on theory of polaritons and light–matter interactions, and in particular topics related to Mie-resonant photonics, electron-beam spectroscopies, chiral polaritons, nonlinear optics, quantum
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for three years from March 1st , 2026. Project description The advertised PhD position forms part of a competence network supported by the EU Interreg-6a funding scheme between Germany and Denmark. The vision
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Job Description The Loft Group at the Functional Genomics & Metabolism Research Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, invite applications from
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for use in health science. The goal of this PhD project is to expand on these computational methods and their formal foundations and to create efficient algorithms and implementations of them. We
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Denmark and abroad. Your work will contribute directly to shaping the future of sustainable energy, while enhancing your skills for a successful academic or industrial career. We seek candidates with: A
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently