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necessary to make closely related decisions while ensuring that complex constraints are met and optimizing the often-conflicting criteria of different stakeholders. The objective of this research is to design
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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within a Research Infrastructure? No Offer Description Mission: Provide algorithm support for combinatorial optimization of problems related to social networks and multilayer networks. Functions to be
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state, Brazil) is offering one post-doctoral position funded by FAPESP, the São Paulo Research Foundation. The project involves developing combinatorial optimization models and methods applied to packing
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in practice. Our most recent new line of research is on how to verify the correctness of state-of-the-art algorithms for combinatorial optimization. Such algorithms are often highly complex, and even
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of state-of-the-art algorithms for combinatorial optimization. Such algorithms are often highly complex, and even mature commercial solvers are known to sometimes produce wrong results. Our work on designing
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of research is on how to verify the correctness of state-of-the-art algorithms for combinatorial optimization. Such algorithms are often highly complex, and even mature commercial solvers are known to sometimes
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Consolidator Grant, THERMODON on harnessing the unique capabilities of ONNs to solve combinatorial optimization problems. ONNs, inspired by the dynamics of coupled oscillators, exhibit inherent properties
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CNS barriers and optimizing nanoparticle formulations for neurological disorders. Minimum Education and Experience - Master’s degree in field directly related to research – Two (2) years of experience
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culture or combinatory approaches, which cannot be analysed in experiments based on conventional culture of CLL/lymphoma primary cells. This project will utilize models developed in the laboratory and will