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-termWorking TypeHybridAvailable for SecondmentNoClosing Date10-Oct-2025 The Aminov Family-Gemini Untwined Scholarship, a 3-year PhD Studentship in Biomedical Engineering funded by the Gemini Untwined Charity
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Trinity Laban Conservatoire of Music and Dance; | London, England | United Kingdom | about 7 hours ago
Introduction Trinity Laban is accepting applications for a new PhD fund in partnership with the Satyam Kalon Programme. The Programme is a ground-breaking collaboration between academics, artists
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. The successful candidate will be asked to apply to the PhD school, Faculty of Health Sciences, SDU for enrolment as PhD student. The PhD programme will be carried out in accordance with faculty regulations and the
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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potentially be mitigated in animals. The candidate will be required to: - Design, plan and conduct a programme of investigation, in consultation with the supervisors. - Produce a PhD thesis, written in English
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University) Department: CEITEC MU Form of study: doctoral full time Supervisor: prof. Mgr. Lukáš Žídek, Ph.D. Annotation The PhD project is a continuation of previous studies of the research group, in
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The Department of Mathematics and Computer Science at the University of Basel is inviting applications for a PhD position in Mathematics, funded by the SNF Ambizione grant “Investigating Anomalous
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(R1) Positions PhD Positions Country Germany Application Deadline 15 Oct 2025 - 16:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2026 Is the job funded
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 7 hours ago
fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant