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] Subject Area: Mathematical Biology Appl Deadline: 2026/02/28 11:59PM (posted 2026/01/14, listed until 2026/06/22) Position Description: Apply Position Description One fully funded PhD position (3 years
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related to staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE Postdoc/R2: PhD holders RESEARCH FIELD(S)1: Mathematics MAIN SUB RESEARCH FIELD OR DISCIPLINES1: JOB
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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mathematicsEducation LevelPhD or equivalent Research FieldComputer science » Systems designEducation LevelPhD or equivalent Skills/Qualifications Education and experience: PhD in bioinformatics, mathematics, modeling
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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mixing modelling and mathematical properties related to thermodynamics, Development of numerical simulation within an open-source code, Writing skills, ability to formulate a scientific project, publish
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 days ago
Infrastructure? No Offer Description The aim of this PhD is to model the development of microstructures during welding processes on thick parts, in the context of nuclear equipment, for which deposits of several
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should have experience with mathematical modelling using ODEs and/or DDEs, parameter estimation methods and HPC simulations. The applicant should be familiar with dynamical systems theory, network analysis