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, MATLAB/Simulink, etc.) and hardware prototypes Experimental validation of converter systems and control schemes in laboratory and relevant real environment Collaboration with Daikin Europe and Airobot
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(or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and climate questions. Ability
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their response to different environments, we try to replicate different environments under controlled laboratory conditions. By systematically confronting users with such environments, we aim to identify and
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written communication skills in English are required. Other advantageous qualities include experience with coding (Python\Matlab) and numerical methods, as well as familiarity with concepts in complex
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of neuroimaging data, such as Quantitative susceptibility mapping (QSM), Magnetic Resonance Spectroscopy (MRS), or (resting state) network analysis. Data analysis and programming skills (Python, Matlab, R) and a
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language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results
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/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS
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between passport templates and openLCA, enabling rapid recalculation of environmental impacts under different reuse or recycling scenarios. This approach prioritizes the methodical adaptation of existing
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different management routes for SMR-derived radioactive wastes. To capture a representative spectrum of waste management options, representative technologies will be considered for low-, intermediate-, and