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Field
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analysis. Technical Skills: Experience with advanced finite element software and nonlinear static and dynamic analyses. Specifically, high proficiency with both DIANA FEA and ABAQUS. Strong numerical skills
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impact with your research? Do you enjoy technical projects involving optics, electronics, and software? Are you eager to join a startup and grow it to a successful company with real world impact? The
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response: investigate methods to fuse EO data with auxiliary information — including environmental simulations and open-source intelligence (OSINT) software — to generate timely, reliable intelligence
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programming and software development. Familiarity with Python and statistical computing libraries, like PyTorch or JAX, etc., would be preferred. You are a motivational teacher, with an encouraging teaching
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(ideally in Fortran). Experience with parallelisation and Linux clusters is an advantage. You have a demonstrated ability to work with scripting software (e.g. Phyton, Matlab, R) for visualisation and
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developing for open-source software projects such as Parcels-code.org; had the opportunity to set your own research questions and goals; participated in fieldwork to deploy and recover the floating trackers
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of practical interest, ideally with a focus on Intelligent Energy Systems. This should be demonstrated by a relevant MSc thesis or publications. Familiarity with good software engineering practices and Python