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Field
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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-preserving data analysis. We are looking for a PhD student to join our team and contribute to cutting-edge research in theoretical computer science, with a focus on Secure Multi-Party Computation. You will
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electrical or computer engineering (or a closely related field), with a solid foundation in mathematics (e.g., calculus and matrix algebra) and coursework in areas such as digital signal processing, sound
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, biomaterials and nanotechnology. Website for additional job details https://www.ceric-eric.eu/2026/03/06/open-phd-position-for-the-lemis-project/ Work Location(s) Number of offers available1Company
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, Mathematics, Econometrics, or data/ computer science (or a similar degree with an equivalent academic level).• You have a solid, mathematically-oriented, academic background in the topics related to this PhD
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Heidelberg Biosciences International Graduate School (HBIGS) focuses on the highly dynamic research areas
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deadline 30 April (for a starting date in autumn) 31 October (for a starting date in spring) Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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of up to one year may be required. Language requirements Not required for the PhD programme Application deadline No deadlines For details, see here: https://www.gradschool.physics.uni-bonn.de/applying
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics