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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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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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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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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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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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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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FEDER funds (COMPETE 2030) and national funds by FCT/MECI, operation no. 16373, under reference COMPETE2030-FEDER- 00753700, in the area of biotechnology under a work contract for a non-fixed term, aiming
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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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diabetic cardiac and gastrointestinal remodeling in companion animals” funded by the FEDER (COMPETE 2030) and national funds through FCT/MECI, operation no. 15280, with reference COMPETE2030-FEDER-00894900
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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