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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since
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question: « what makes our brain human ? » (Vanderhaeghen and Polleux, Nat. Rev. Neurosci. 2023). We combine cutting-edge approaches such as pluripotent stem cell models of human corticogenesis, human-mouse
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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the ocean, with a focus on using model microbial systems in the lab. VIB is an entrepreneurial non-profit research institute across 5 universities with a strong track record of translating scientific
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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their expertise together to establish neural organoid models recapitulating aspects of neural-microglia interactions in neurodegenerative diseases at Ghent University. About the project MINDFUL: Lipid accumulation
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. Applications will be accepted until the position is filled. Job profile The successful candidate will apply linear control theory to existing artificial neural network models of working memory, task switching
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Job description The job involves formal semantic and pragmatic modeling of Information Structure-related phenomena from a diachronic perspective. Information Structure-related phenomena are to be
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the Controllosphere Theory of cognitive effort (see doi 10.1037/rev0000467). A Ph.D. and background in computational modeling, engineering or a related discipline is required; expertise with linear control theory and
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Stimulation using advanced preclinical models for seizures and epilepsy. Analyze extensive datasets of neurophysiological signals, including local field potentials (LFP), unit activity and biosensor imaging