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or altered behavioral responses in ASD models How these changes reflect underlying shifts in cortical circuit function You will work within the Bonin and Farrow Labs, which brings deep expertise in
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is to develop RL controllers that can learn from data while guaranteeing stable and safe operation in complex, nonlinear systems such as chemical plants and energy processes. By validating the approach
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trained in the theoretical modelling of the chiral surfaces. You are a motivated researcher with a Master in physics, chemistry, nanotechnology, or related fields. You have knowledge of scanning tunneling
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to biochemical and biomedical research. Mass spectrometry can shed light on the stoichiometry, 3D structure, and ligand binding ability of proteins and complexes. In this PhD project, you will push the development
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-motivation, flexibility and team spirit. Experience with techniques such as cell culture, CAM model, qRT-PCR, fluorescence microscopy and/or bioinformatics would be a plus. Your teaching competences are in
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
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); novel obfuscations and obfuscation recipes to defeat LLMs and other AI-based reverse engineering tools; the use of AI techniques and LLMs to optimize reverse engineering strategies; modeling techniques
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will employ advanced in vivo models and spatial technologies to dissect the roles of tissue-resident macrophages and infiltrating immune cells along the periphery–immune–brain axis. About us The research
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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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modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating these theoretical insights with the structure and activity