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of wood formation (CEMACam project). - main mission: The candidate will be tasked with continuing the development of a wood formation simulation model initiated during the project. This 'vertex' model
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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the recruitment date, and must not already hold a PhD/doctoral degree. How to apply: The job description and essential/desirable criteria for this role can be found here: https://www.kcl.ac.uk/jobs
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 22 days ago
are stored or sent over the network. However, this is a difficult problem in general since meaningful information for the global simulation depends on the other nodes' output. The goal of this PhD is to
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(R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Bratislava) Country Slovakia Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Sep
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(R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Bratislava) Country Slovakia Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Sep
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(R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Bratislava) Country Slovakia Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Sep
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if the candidate is enrolled in a: PhD program - art. 6º, n.4 c) https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf subject to suitable performance within the period of the project, not exceeding
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Basse Normandie. PHD title: Doctorat de Physique PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137565 Requirements Specific Requirements Applicant
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star clusters requires a close connection between detailed numerical simulations and observational data. This PhD project aims to bridge this gap by generating realistic synthetic observations of star