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supports numerical computational modeling of subsurface flow and well performance, mentors PhD students, and contributes to ongoing research projects. This is a temporary, part-time (wage-payroll) hourly
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9.4. The Interview (INT), with the duration of 20 minutes, will be classified on a numerical scale from 0 to 100 points, applying the following parameters and criteria evaluation, represented in
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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pleasant and inspiring working environment with numerous team-building activities.• A contractual appointment as a PhD researcher (100%) for a period of 1 year, with the possibility of a 4-year PhD
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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working environment numerous possibilities of career development and advancement cooperation with international partners (extensive network of Erasmus+ partner institutions) canteen, allowance for meals
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transport phenomena. Scientific Background Numerical simulation of turbulent flows always involves a trade-off between accuracy and computational cost. Depending on the objectives, different modeling
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doctorate, contains: As a predoctoral researcher you will conduct experimental and numerical research on the structural behaviour and design of light- and micro-profiled steel roof sheeting, with the primary
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of Aeronautics in Madrid (ETSIAE) – Univ. Politécnica de Madrid. Off-coustics combines numerical simulations and experiments to provide insights into the physics governing the aero/hydro-acoustic generation and