Sort by
Refine Your Search
-
will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also
-
model characterisation strategies definition of the necessary equipment definition of the necessary processing algorithms Implementation/validation/drafting of scientific articles in collaboration with
-
26 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
-
address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
-
order model, machine learning, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics
-
, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics to mechanical engineering
-
project coordination team. Applications must include : - a curriculum vitae including a list of publications - a letter of motivation (2 pages maximum) outlining the applicant's skills in relation
-
of publications (links to publicly available online documents are accepted) For full consideration, all the items listed above should be included or the absence thereof justified. Website for additional job details
-
port issues, for example (non-exhaustive list): port economics and logistics, port–city urban planning, coastal engineering, marine environment, energy and decarbonisation, data / AI and digital twins
-
socio-economic dimension into research (and, where relevant, teaching). Required: PhD in a field relevant to the “Transitions, Risks and Hazards” theme, for example (non-exhaustive list): environment