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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
quantitative skills and curiosity about complex systems. Position Overview You will design, implement, and apply new computational and statistical models to reverse-engineer causal networks from noisy, high
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
. Required Work and Related Experience: Good technical skills including at least several of the following: Algorithms, data analysis, graph, network, and complexity theory Scientific computing, statistics
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preclinical models and retrospective human MTLE datasets. Apply complex signal-processing approaches to analyze animal and human intracranial EEG. Develop and implement computational network analyses
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and grammatical resources into a digital network. The network will consist of lexical constructions (simple and complex words) and grammatical constructions (word-formation patterns), linked to one
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21 Sep 2026 Job Information Organisation/Company Łukasiewicz Research Network – PORT Polish Center for Technology Development Research Field Neurosciences Researcher Profile Recognised Researcher
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 9 hours ago
Engineering (Dr. Leif-Thore Deck) at the Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg , Germany. The position is to be filled as soon as possible and is limited to three years
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function based on a coupled NEMS network, consisting of 2 or more double-drum resonators. This is beyond current state of art and relies on deep understand of more degrees of nonlinear complexity
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NLRP3 activation and innate immunity in patients with DDX3X mutations, something that is difficult to ascertain from clinical data due to the complex mutational landscape and the rarity of the condition
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) brings together researchers from the physical, information, biological and social sciences to develop the theory and applications of complex networks. Founded in Boston in 2014, NetSI now connects research