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the DRACCAR-MMERMAID project. The representation of fishing activities is currently being improved (ANR/FEM FISHOREMAN project). The modelling incorporates an assessment of the cumulative impacts of offshore
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/simulation/optimization) Build prototypes and research software (clean, reproducible, well-documented) Work with simulation pipelines (e.g., FEM/CFD/physics engines) and industrial data Collaborate with
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, preferably involving fluid mechanics and/or microstructure related simulations. Experience with numerical simulations based on the finite element method (FEM) or the finite volume method (FVM). Experience with
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if they demonstrate strong relevant skills. Coursework or strong background in computational mechanics / FEM, numerical methods, and scientific programming. Exposure to machine learning / data-driven modelling and/or
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functionalization techniques, along with computational approaches such as FDTD or FEM, will also be appreciated. SOFT SKILLS: Analytical and critical thinking, motivation, flexibility REQUESTED DOCUMENTS
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highly desirable. Additional valued skills include numerical simulations (e.g., FEM or FDTD). Excellent written and oral communication skills in English are required. SOFT SKILLS: Analytical and critical
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. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing
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structural degradation phenomena—including fatigue, corrosion, and biofouling—would also be beneficial. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar
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along with their simulation results (e.g. FEM, CFD) start to “pile up”, rarely being ever used after they have served their purpose. These models can be also seen in the context of product life cycle, i.e