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every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value
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digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different conditions. To propose a methodology/framework in a
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begins on September 1st, 2026. The position focuses on doctoral studies and research within an interdisciplinary consortium exploring musical experiences across different performance contexts. The fixed
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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-throughput modeling over heterogeneous or sparse datasets. Conduct system profiling, model benchmarking, and empirical evaluation across different computing architectures. Explore novel strategies
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and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
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scale and are most often organized at different size scales. They present a great diversity of forms (nanoparticles, porous media, confined fluids, colloids, multimaterials, self-organized media) and
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling
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statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) o Social