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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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outcomes could significantly extend battery lifetime and enable a new generation of adaptive and sustainable embedded AI systems We are looking for highly motivated PhD researchers with a strong interest in
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of the computational kernels of AI/ML models developed within the project, targeting their execution on embedded systems and heterogeneous computing platforms. The selected candidate will contribute
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candidate for a full-time PhD position in Advanced Physical Security of Embedded Systems. You will become part of an active and interdisciplinary cybersecurity research environment and have the opportunity
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. The position is embedded in an internationally oriented research environment at the Krems Campus and within the University Hospital Network of St. Pölten, Krems, and Tulln. The successful candidate will join a
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hybrid physics-based/data-driven approaches. Practical experience in battery testing, parameter identification, and data acquisition. Familiarity with automotive systems, electric vehicles, and embedded
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link to the mesoscale organisation of convection - To analyze satellite and in-situ observations of tropical clouds embedded in the mesoscale organisation of tropical convection - To conceptualize
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) Positions PhD Positions Application Deadline 25 Sep 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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l'Union européenne Programmes de l'Union Européenne de financement de la recherche (ERC, ERASMUS) PHD title: Doctorat en Énergétique et Procédés PHD Country: France Where to apply Website https
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Engineering at the University of Navarra and Cima (https://cima.cun.es/investigacion/programas-investigacion/programa-inve… ), to conduct a PhD centred on the biofabrication of next generation human engineered