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are seeking two motivated researchers or engineers with expertise in finite element programming to join an ambitious project modelling the complete neuromuscular dynamics of Drosophila larvae. This position
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
computational modelling and simulation in engineering, including numerical methods, finite element analysis, constitutive models, response prediction, or digital twins (0–4 points); Experience in computational
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement
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in day-to-day work. Strong computational and numerical modelling skills, including finite element or multiphysics simulation and scientific programming. Awareness of diversity and equal treatment
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, Risk engineering, or similar You have experience with (or you should demonstrate the capability to learn): (i) fire and/or blast science and engineering; (ii) structural dynamics; (iii) finite element
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with analytical modeling, reduced-order models, numerical simulation, finite element methods, optimization, or statistical-mechanics-based approaches. Proficiency in one or more programming languages or
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ambitious researcher with a strong background and experience in biomechanics, finite element modelling (FEM), medical image processing, additive manufacturing (AM). The project will be carried out in close
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loading. The project combines computational mechanics, nonlinear finite element analysis and soil–structure interaction to address critical challenges in civil protection and societal resilience. Are you
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Engineering, Engineering Mathematics, Engineering Physics or similar. Documented experience (education/courses or thesis project with high grades) in the finite element method and the mechanics of fibre
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of microfluidic flow phenomena, including using finite element method tools Programming skills Fluency in English Ability and motivation to pursue and complete a doctoral degree as demonstrated during prior studies