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history of family AOD use and To estimate potential health, social and economic benefits of reducing the burden of family AOD use. The student would develop the project with their supervisors to make it
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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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effective diagnostic methods and treatment protocols. The overall purpose of this research project is to identify biomarkers and develop effective antimicrobial strategies to prevent infection and
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. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV.2. In the assessment of the candidate’s background and CV, scientific
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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wide spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology
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hydrological modelling methods that explicitly use interpolation to pre-process precipitation data. In addition, the research should explore the integration of opportunistic sensor data to improve forecast
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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 occupation of the positions or, when the positions cannot be totally occupied, due to the inexistence or insufficiency of candidates to continue the contest. IV. Selection methods and criteria IV.1. Selection
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procedures. These systems combine preoperative planning and intraoperative measurements into a visual interface, improving surgical precision and outcomes. However, current navigation methods have significant