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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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? No Offer Description The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE
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The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE) Project Why apply
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Published Monday 11 Aug 2025 Deadline Monday 22 Sep 2025 Work area PhD Organisational unit Erasmus School of Law (ESL) Salary € 3.059 - € 3.881 Employment 1 fte - 1 fte Introduction Are you curious
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Vacancies PhD Position SPINES: Modelling Tipping Dynamics in Infrastructure Use Key takeaways There is an increasing demand for infrastructure services while, at the same time, infrastructure
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: 3 PhD Candidates in Generative AI for Industrial Design Engineering (GenAIDE) Project
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Faculty of Social Sciences At the Faculty of Social Sciences , humanity and society are our focus; we study how people behave, think and feel. Within this context, we look at themes such as human behaviour and the human psyche, education and upbringing, communication, society and culture. The...
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with your supervisors, but you can work independently, investigating GaN design and pushing the state-of-the-art. Where to apply Website https://www.academictransfer.com/en/jobs/354326/phd-positions-3x
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number Academic research area and topic of PhD Contact details of your PhD supervisor Any awards you have received, articles you have published or conference presentations you have given. We do not need
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Vacancies PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test Key takeaways Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC