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to take into account continuous variables in the optimization process, in addition to discrete variables,while retaining the ability to model multivariate dependencies between the variables of the problem
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properties Regeneration strategy: Define optimal thermal or vacuum regeneration conditions to ensure the sustainable and economic viability of the process. Candidate profile: PhD in chemical engineering
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The postdoc's primary mission will be to optimize feedback (critical incident technique) in high-security contexts using interview protocols developed within the framework of the scientific psychology
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spectrometry techniques available in the laboratory, as well as optimizing analytical methods if necessary; Performing advanced data processing, including statistical and multivariate approaches, and potentially
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researcher will test these materials to design, fabricate and optimize organic optoelectronic devices, focusing on the manufacturing aspects including miniaturisation of devices, encapsulation, flexibility and
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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effect and its great versatility. Indeed, it allows for the designing of a wide variety of materials, and numerous efforts are currently being made to industrialize this process. The objective
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
, energy optimization, and sustainable urban mobility. The position focuses on the development of a hybrid electromobility model within the eMob-Twin platform, combining large-scale mobility data from
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analyses, isotope-based approaches (CSIA), and molecular biology tools to investigate: • contaminant fluxes and bioavailable fractions in urban aquatic systems, • transformation processes and interactions
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department