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fundamental questions in statistical physics. The work is primarily numerical, and we seek candidates with experience in particle-based simulations (e.g., molecular dynamics) and a strong interest in large
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available for full-time dedication. How to apply: Applications must be submitted by April 30, 2026, via email to cpodv.fflch@usp.br (copy to megiani@usp.br ). For full details, please visit: https
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 25 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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for hydrogeophysical research and numerical simulation and inversion Opportunities to being part of the national and international scientific community PhD students are encouraged to attend international conferences and
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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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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
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Daniel Nieto from the University of A Coruña, is looking for a qualified and motivated young postdoctoral researcher to work within the framework of the ORALREGENERIX project. A PhD in chemistry and an
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Lars Åke Andersen 28th April 2026 Languages English English English Faculty of Health Sciences PhD fellow in infection biology/microbiology Apply for this job See advertisement The position A PhD
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gained to improve the sustainability of agriculture and the climate change resilience of crops. The Maere lab at PSB ( http://www.maerelab.be ) is active in the fields of computational biology
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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