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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and
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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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on their staff. Our new grant funding will extend this programme to study how working time reduction could support employee inclusivity at work. In this grant-funded studentship, the PhD researcher will play a
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch background knowledge in
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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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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-time / part-time full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter and summer semester Application deadline Announced on the website for the summer semester: 15
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, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core subjects of this PhD programme including process intensification and green chemistry
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to PhD candidates in a leading humanities or social science doctoral program outside of Pakistan who are writing up their dissertations or completing fieldwork in Pakistan. The successful candidate
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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