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to the economic modelling and simulation of optimal fuel cell operation under different business models.. Collaborate in the laboratory testing and validation of control algorithms developed within the project
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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of the occurrence of rare events, as well as model simplifications and associated a posteriori error estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D
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ultrahigh-throughput microfluidic screening to optimize mRNA for therapeutic purposes. mRNA libraries will be prepared by randomly combining different 5' and 3' untranslated regions (UTRs) identified
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads
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. Advise the principal investigator on panel optimization, gating strategy adjustments, or additional controls needed based on observed technical or biological variation. Recommend follow-up experiments