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as a set of interconnected hubs. The current energy transition processes require new strategies to generate models with immediate responses to problems, not only in terms of redesigning operating
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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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engineering of non-equilibrium cold plasmas, as well as environmental and biomedical applications, via fundamental studies ranging from basic data to the multi-physics simulation of discharges and reactors and
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and scientific/technical context The Internet of Things (IoT) ecosystem is characterized by diverse protocols (e.g., Matter, CoAP, MQTT, CORECONF) and data models, creating significant interoperability
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suppression, dosage compensation) will be addressed. These models will build on the recent development of chromosome-scale simulations developed for the study of sex chromosomes (2–5). References: 1. N. O
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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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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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Study: In this phase, the research will focus on modeling and implementing a communication structure at the leg-level of the MMC. This involves designing, simulating, and experimenting with the initial
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understanding of machine learning algorithms and their application in optimization or predictive modeling. Proficiency with simulation tools such as MATLAB or NS3. Strong programming skills in Python, C/C
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Bugs in Graphics-Intensive Mobile Apps," 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), London, UK, 2016, pp. 115-124