6 graph-theory positions at Nature Careers

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  • Nature Careers | Le Bar sur Loup, Provence Alpes Cote d Azur | France | about 2 months ago

    graph neural networks). Finally, as initiated in [4], a stronger adversary model can also be defined and studied whereby the active adversary who wishes to harm the model is aware of the underlying

  • Nature Careers | Le Bar sur Loup, Provence Alpes Cote d Azur | France | about 2 months ago

    investigate the use of graph neural networks to solve graph and combinatorial problems, such as approximating centrality measures or performing network alignment. • Computational Neuroscience. We are interested

  • Nature Careers | Le Bar sur Loup, Provence Alpes Cote d Azur | France | about 2 months ago

    exploration of the domain, as well as persistence theory. Additionally, we aim to extend the concept of saliency maps [1][2], used in 2D image analysis, to the 3D context. We will investigate the use

  • Nature Careers | Belgium | about 2 months ago

    networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our

  • Nature Careers | Le Bar sur Loup, Provence Alpes Cote d Azur | France | about 2 months ago

    Approach to Combining Reputation and Contract Theory”. In: IEEE Internet of Things Journal 6.6 (2019), pp. 10700– 10714. [12] Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, and Dong In Kim

  • Nature Careers | Odense C, Region Syddanmark | Denmark | 2 months ago

    , graph theory, satisfiability problems, discrete optimization. Strong interests in chemistry as well as proven competences in programming and ease with formal thinking are a necessity. This PhD project is

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