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Field
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- Participation in the fabrication of demonstrators integrating printed luminescent layers. - contribution to experimental design and data analysis, scientific reporting and project meetings, writing scientific
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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practices. These projects include: a) investigate how different grazing management strategies impact carbon and water cycling in grassland ecosystems, b) integrate remote sensing data (e.g., NDVI, EVI, land
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steer these interactions; combine our expertise on biochemical and molecular nutrition, nutrition epidemiology and data-analysis; make links with other units within and outside FBE with complementary
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 20 hours ago
necessarily all, of the following: Experience with atomic and laser spectroscopy Optical design and opto-mechanical fabrication experience Statistical data analysis skills Technical paper writing skills Poster
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ageing studies and diagnostic measurements. Familiarity with machine learning and data analysis. Strong programming skills, for example in Python and/or MATLAB, and a strong publication record. What you
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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on biochemical and molecular nutrition, nutrition epidemiology and data-analysis; make links with other units within and outside FBE with complementary expertise, required to develop your research create a