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Umbria - XLII cycle a.y. 2026/2027 University of Perugia 24 PhD courses Where to apply Website https://pica.cineca.it/unipg/ Requirements Additional Information Eligibility criteria Eligible destination
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for admission to the three-year PhD Courses - (2026/27 – 2027/28 – 2028/29) for the XLII cycle. Where to apply Website https://www.univpm.it/Entra/Ricerca/Dottorato_di_Ricerca_/Bando_di_Concorso_Dot… Requirements
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Fabric) Details: https://www.science.hr/jobs/244480/phd-position-world-models-for-softwa… Where to apply Website https://www.science.hr/jobs/244480/phd-position-world-models-for-software-archi
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are available, ofwhich 29 with a scholarship. Where to apply Website https://unibas.esse3.cineca.it Requirements Additional Information Eligibility criteria L’esame di ammissione, volto ad accertare l’attitudine
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! We are recruiting to our 2027 PhD programme via two routes. Full information can be found on the Crick’s website: https://www.crick.ac.uk/careers-and-study/students/phd-students Applications are open
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Training Program (RTP) Stipend https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details . Be inspired, every day Drive your own
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related to research lines or scientific-technical services Ref. Interna F1157-8231 PID2023-150168NB-I00 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN SPANISH Where
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to carry out activities related to research lines or scientific-technical services Ref. Interna M3092-8168 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN SPANISH Where
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
context of the ANR PRCI CoDaLi project, with Inria Rennes and the RPTU (https://rptu.de/ ). The general objective of the CoCoDaLi project is to design and implement offline and runtime techniques that allow
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https