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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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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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. Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling
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validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology
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from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell
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include 1) a murine (diet-induced obesity) model, 2) acute and chronic exercise paradigms, 3) treatment with peripherally restricted enzyme-based eCB modulators, 4) multi-tissue molecular analyses and 5
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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine
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-causing mutations. Finally, we will validate the identified key (epi)genetic molecular and eplore their therapeutic potential in in vitro and in vivo disease models. Profile The candidate should: have an
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neuromodulation technique capable of targeting deep brain structures in a non- or minimally invasive manner. You will play a central role in the preclinical research activities of the project. YOUR JOB Perform