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get the possibility to join a top-notch research environment in human-computer interaction and have a strong collaboration with other research groups in Aalto and the EU. You would also be able
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. • Demonstrated ability to efficiently operate Macintosh and PC computers including working knowledge of standard computer packages (SPSS, SAS, and BMDP) for analysis of educational data. • Ability to travel
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programs – specifically MS Office (Word, Excel, and PowerPoint). Maintain excellent lab notes and records. Demonstrated ability to work cohesively in a team and display initiative in anticipating and
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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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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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(Governmental Public Employment Portal), as well as in both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal, at https://www.euraxess.pt/ . Pursuant to paragraph h
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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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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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the Apply UC computer platform and in the EURAXESS Portugal Portal, at https://www.euraxess.pt/ . Pursuant to paragraph h) of Article 9 of the Portuguese Constitution, the University of Coimbra, as employer
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in