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passive and active compensation methods exist, thermal effects must be addressed during early-stage design. This calls for advanced modeling techniques that capture thermo-elastic interactions with high
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. The focus will be on designing reproducible techniques for identifying dependency structures, validating these methods through large-scale experimentation, and evaluating how well DNS configurations align
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on the expression but also the dynamic interaction of the key proteins for the endocannabinoid signalling and to target these systems in a cell-type specific manner to test whether their modulation might counteract
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aim to visualize the endocannabinoid system using advanced chemical tools focusing not only on the expression but also the dynamic interaction of the key proteins for the endocannabinoid signalling and
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, including EEG. You will design and optimize experimental tasks, collect and analyze behavioral and neural data, and adapt computational models to capture variability between individuals. What you will be
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pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in
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tools for speech disorders, real-time language processing for human-robot interaction, and adaptive content generation in augmented and virtual reality environments. The project combines algorithm design
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trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with changes in intended use. As part of
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measure the nanoscale structure using TEM, AFM, FRET, DIB, etc. W design the amino-acid sequence of the IDPs and TRs de novo from the bottom up and study these in biomimetic nanopores. The approach can be
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nanoscale structure using TEM, AFM, FRET, DIB, etc. W design the amino-acid sequence of the IDPs and TRs de novo from the bottom up and study these in biomimetic nanopores. The approach can be expected