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8 and 9, namely: a) Electronic application form for the competition procedure; b) Copy of certificate or diploma of the PhD degree, or recognition/registration of the PhD degree; c) Detailed
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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/Administrative Internal Number: 527353 Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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their application, selecting the procedure to which they intend to apply. The documents inserted in the application are exclusively in digital portable document format (pdf), apart from the documents mentioned in
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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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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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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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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