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, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using COMSOL Multiphysics, and in-situ/operando spectroscopy, among other
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, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or
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finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
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. Extensive experience in the development and application of finite element method (FEM) or comparable methods for AM applications. Preferred Qualifications: Demonstrated expertise in multi-physics simulations
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(variational multiscale, multiscale finite elements, etc.), structure preserving numerical methods, stochastic optimization, analysis of machine learning methodologies, multilevel methods, scale-bridging and
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models using experimental data for precise mapping of real processes Conducting detailed analyses of thermomechanical stresses in electrochemical converters using the finite element method (FEM
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engineering discipline Experience and skills · Proficiency with finite element modelling and FEA software like ABAQUS Explicit or LS-DYNA · Experience in impact modelling or continuum damage
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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experience developing biological application an additional plus Experience coding / applying finite difference, finite element or finite volume methods Experience using optimization software such as GAMS
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within Irksome. A Ph.D. in applied mathematics, computer/computational science, or a related discipline and knowledge of finite element methods and scientific computing is required. Prior experience with