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project willbe appreciated. The use of the Julia programming language is preferred, which has been used by E. Natale’s group since 2020, contributing to the developlment of projects such as
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, you will be a member of a team of 8 to 10 energy system modelers. You will contribute to the development, maintenance and use of our linear programming-based dispatch and unit commitment model of the EU
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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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, which primarily specialize in either force generation or endurance, craniofacial muscles perform highly intricate tasks essential for eye movements, feeding, and speech. In this project, we will employ
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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methods, clustering, and machine learning. Advanced level of expertise in the R programming language Skills appreciated: Mastery of classical tools and methods for analyzing NGS (Next Generation Sequencing
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this project we will draw analogies between memory dynamics in rodent brains and challenges in machine unlearning, particularly in foundation models such as Large Language Models. Using experimental data from
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training around all of these aspects for researchers and engineers The essential expected skills are: Good practice of Unix/Linux system and system administration Good programming experience (C/C++, Python