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to capture experimentally due to the small scales and opacity of the matrix. Consequently, computational fluid dynamics (CFD) is the best approach for improving these burners. This PhD aims to investigate NH3
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Deadline 23 Jan 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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control of industrial emissions and reduce health and environmental risks. Bringing together fluid mechanics, high-performance computing, and data science, this project fosters a dynamic, collaborative
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fluids from patients with hypertrophic cardiomyopathy Where to apply Website http://www.unikore.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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torques. For example, the candidate may investigate how anisotropic particles at fluid–fluid interfaces give rise to large-scale hydrodynamic phenomena. [2,3] Candidates must have completed or be close to
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 days ago
Deadline 27 Feb 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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position will be open at the Fluid Dynamic division of Mechanical and Maritime Science department. The research at the Division covers turbulent flow (both compressible and incompressible), multiphase flows
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description MetaWing: Explore the interface between Metamaterials
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of scientific computing involving machine learning models for viscoelastic fluid flows. Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes of Scientific Research Fellow
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these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and