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of autonomous flow reactors for chemical synthesis. The project aims at 1/ developing a new optimization Bayesian algorithm and 2/ improving the process-control software already developed in the team
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, its improvement paving the way for enhanced embryo yield and developmental quality, ultimately reducing time-to-pregnancy. Interestingly, embryos displaying a faster development yield better clinical
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for pursuing the analysis of data from a research project focused on the identification of clinical, genetic, and bacteriological factors involved in the development of severe bacterial infections (SBI) in
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Description Evaluation of the robustness of ML algorithms executed on a non-hardened accelerator through circuit-level fault-injection The project addresses the challenges of deploying AI applications
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Université is seeking a talented post-doctoral researcher to join us to develop a method for response-shift analysis at the item level in longitudinal self-reported outcomes studies across multiple time points
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work within the ADAPTING PEPR project, funded by France 2030 and led by the ANR (French National Research Agency). Within this project, the ASIC team at IETR aims to develop a distributed platform for
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developments. Significant challenges originate from the small cell size and low biomass concentration (0.5-5.0 g/L) of microalgae suspension in cultivation medium (T. Mathimani 2018). Traditional methods such as
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(experimental protocol, drag and induced load analyses) • Develop fluid-structure growth and interaction models incorporating biocolonization • Manage the project (steering committee meetings, partner
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Excellence in Research since 2022 as part of the HRS4R strategy Transport subscription up to 75 % supported Sustainable mobility package, in line with the institution’s commitment to sustainable development