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that specifically and reversibly bind to the biomolecules of interest. In this PhD project, you will explore a novel direction: you will develop and test binder molecules for continuous sensing using de novo protein
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brief consultation and assessment (e.g., Behavioral Pediatrics, Behavioral Feeding, Habit Reversal) to ongoing intervention (e.g., Behavioral Pediatrics, Behavioral Feeding, Parent Child Interaction
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of mill and production operations. The scientific challenge will be to use the model and machine learning alongside live mill data (temperature, rolling loads etc) to reverse engineer the current
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analyses of archival, textual, visual, and digital sources, itstudies how repertoires of resistance evolve and travel. This includes the study of ‘everyday resistance’, ‘constructive resistance’, ‘reverse
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be a plus. Data analysis, modeling and applied ML experience is recommended, given the need to identify patterns in large-scale behavioral logs. Software reverse engineering (Frida, IDA Pro) experience
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, visual, and digital sources, itstudies how repertoires of resistance evolve and travel. This includes the study of ‘everyday resistance’, ‘constructive resistance’, ‘reverse discourse’ and ‘networked
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cloud formation patterns, potentially amplifying or reversing any direct radiative effects. Your research will help address these critical knowledge gaps and assess the net climate impact of space
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amplifying or reversing any direct radiative effects. Your research will help address these critical knowledge gaps and assess the net climate impact of space activities before they scale dramatically. Your
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cirrus cloud formation patterns, potentially amplifying or reversing any direct radiative effects. Your research will help address these critical knowledge gaps and assess the net climate impact of space
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propulsion of active particles with reversible interactions Susana, et al., Nat. Communi, 14,7896, 2023. A colloidal viewpoint on the sausage catastrophe and the finite spherepackingproblem Where to apply