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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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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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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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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
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in quantum methods for bioinformatics. Topics may include, but are not limited to, solving hard combinatorial optimization problems with quantum methods, quantum-based data structures (e.g. in
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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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optimization and explore applications in combinatorial problem-solving. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree