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Field
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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Position The PhD student will work on laser imprint and ablator physics related to inertial confinement fusion. The student will be in charge of: Numerical modeling using FLASH code to prepare and dimension
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applicable in practice. Supervisor: doc. Ing. Erika Hodúlová, PhD. More information about PhD position: https://tf.uniag.sk/sk/doktorandske-studium-2 Additional admin information: renata.zahorska@uniag.sk
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of the work The objectives of the PhD are threefold. First, it aims to develop a reference numerical model for the propagation of wind turbine noise in the atmosphere. This model will be based on a 3D parabolic
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to monitoring scientific progress and defining short-term objectives. More informal discussions will also take place as needed, particularly during intensive phases of numerical development or data analysis
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20 Mar 2026 Job Information Organisation/Company LEM3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun 2026 - 00:00
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Experience with: Structured population models, Multiscale modelling, Numerical analysis of PDEs, Machine learning for parameter inference, Model calibration and sensitivity analysis. Familiarity with systems
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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17 Mar 2026 Job Information Organisation/Company cnrs Department lem3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun
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) Positions PhD Positions Application Deadline 15 Jun 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research