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on the evolution of the genomes of these lineages and the possible scenarios remain largely hypothetical. From a theoretical side, multilocus models for the evolution of asexual genome, with and without
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on quantum logic protocols [4-6]. At every step, the student will develop theoretical models and conduct numerical simulations to guide the experiments. These experiments and findings will pave the way toward
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. -Ackermann, et al. (2022) Modeling the mechanics of growing epithelia with a bilayer plate theory. EPJ Plus 137:8. DOI:10.1140/epjp/s13360-021-02205-1 -Abouakil, et al. (2021). An adaptive microscope
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airway biopsies of COPD patients and spatially map dysregulated pathways with spatial transcriptomics. Using in vitro and ex vivo models will identify disease-associated states and the cellular specificity
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. Functional Synthetic Model for the Lanthanide-Dependent Quinoid Alcohol Dehydrogenase Active Site. J. Am. Chem. Soc. 2018, 140 (4), 1223–1226; b. Vetsova, V. A.; Fisher, K. R.; Lumpe, H.; Schäfer, A
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-correction. This PhD falls into the fields of error-correction and Deep Learning. Due to the inherent unreliability of the DNA storage support, the goal will be to develop advanced deep learning models
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at Neuro-PSI. Neuro-PSI includes 21 research teams, platforms and technical services allowing the study of brain function in several animal models at all levels. The postdoctoral researcher will work in the
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on advanced AI methodologies. Incorporating physics-guided deep learning models that explicitly integrate the underlying MRI signal formation process to enhance reconstruction reliability and interpretability
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, New York, NY, USA, 217–232. https://doi.org/10.1145/3062341.3062356 [ZLL15] Haitao Steve Zhu, Chaoren Lin, and Yu David Liu. 2015. A programming model for sustainable software. In Proceedings
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This research will employ advanced error correction techniques and machine learning-driven optimization to dynamically adapt multicast communication parameters in real-time. It will develop mathematical models