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Field
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specialized in instrumentation / electronics. NMR/MRI acquisition sequences: implementation, optimization of standard sequences and innovation at very low field, with a focus on acceleration procedures and
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related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high
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polymer blending and colloidal lithography. Low-cost fabrication processes will be developed and optimized, and their performance will be analyzed using optical spectroscopy. Results will then be compared
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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future of the C4 grasslands of the world”. We will develop a novel approach for simulating C4 grasslands in interaction with C3 grasslands and trees based on Eco-Evolutionary Optimality (EEO) within
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(AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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supported by NIH and other extramural funding agencies. Develop, optimize, and troubleshoot new experimental techniques and protocols. Participate in research seminars, journal clubs, and collaborative
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments