1,305 computer-programmer-"https:"-"FEMTO-ST"-"CNRS"-"UCL"-"https:"-"https:" PhD positions
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Assistance in Complex Acoustic Environments within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, and the integrated PhD stipends are open for
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need to meet the minimum entry requirements for our PhD programme . Candidate profile A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics
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relevant Engineering discipline, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting MSc thesis within 30. June 2026 may be considered
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in either language. Programme duration 8 semesters Beginning Winter semester Application deadline Applications have to be submitted before 1 July. Tuition fees per semester in EUR None Combined
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training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
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three Master's programmes (Biochemistry, Biomedicine, and Biomedical Data Science). MHH is part of the IDOH (Infectious Diseases and One Health) Master's programme. A structured doctoral programme for
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-funded CIRCUIT project (Causal Inference for Resilient Cities and Urban Integrated Transport), a four-year interdisciplinary research programme at Trinity College Dublin. The project develops advanced
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-leading research programme investigating key nuclear reactions for both fundamental physics and applications. The aim of the project is to establish new methods to measure properties of Auger electron
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approved PhD program. The successful candidates are expected to start on 1st September 2026. Qualification requirements and personal skills Applicants must hold a Bachelor’s and a Master’s degree or
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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest