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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
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quality. Your main tasks will consist of: Conducting independent research of high international quality, including publication in leading journals Performing advanced spatial data analysis, including
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(SNSPD). Additional responsibilities include developing efficient coupling of free-space optics to optical fibers, conducting extended data-taking runs with TES and SNSPD systems, and performing data
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workflows related to biofuels and added-value compounds production Structure experimental data and information, including budgets and forecasts Coordinate effective communication among research teams
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lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and
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(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data
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at bachelor level and specialized graduate courses in Political Science. For further information, please contact Associate Professor Matthias Döring, mdoering@sam.sdu.dk . Application Appointment
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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read more about career paths at DTU here . Further information Further information may be obtained from Professor Mads H. Clausen, mhc@kemi.dtu.dk You can read more about DTU Chemistry at www.kemi.dtu.dk