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curing experiments of the composite, till the build-up of residual stresses. These experiments are complemented with finite element simulations to understand the different steps in the processing
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Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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respetiva ponderação, com a seguinte fórmula: APCC= A*50%+B*50% A: CV quality - Weight: 50% B: Previous research experience in the field- Weight: 50% The evaluation process may include an interview
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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using functional 2D materials. • Organic synthesis and typical characterization methods, as NMR, FTIR, MS, EA, UV-vis and fluorescence spectroscopy. • Methods for 2D materials processing and
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their statements. 20. False statements provided by the candidates shall be punished by law. 21. Both admitted and excluded candidate list and final classification list shall be published at the address of REQUIMTE
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
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Europe | 2 months ago
on MCF technology in Europe. Training of DCs will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device