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provide a comparative mapping of these processes across all major archaeal phyla. Scientific objectives: - Identify and characterize de novo genes within the main archaeal lineages and their associated
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): Network-level design and multi-node cooperation (coordination, topology design, distributed/federated learning, etc.) Wireless resource allocation and scheduling under multi-objective KPIs (rate, latency
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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of these megasynthases, through a rational design approach, to alter its substrate specificity and generate variants capable of incorporating functionalized amino acids. The ultimate objective is to create strains
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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awarded by the university to which the supervisor of the respective student is affiliated. MPSCog also offers a parallel track, the fully funded Clinician Scientist Program (CSP), targeting medical
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PhD in ARTS AND CULTURAL HERITAGE FOR INNOVATIVE, ADVANCED AND INTERNATIONAL PRACTICE-BASED PROJECTS
new materials, new tools and new technique for the art - and the ‘in' approach, where there is little or no separation between the subject and the object, the researcher and the practitioner
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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thesis research work will be framed based on the research objectives proposed in the OPUS 27 project entitled “Food Waste Biorefinery for Sustainable Production of Next-Generation Algal-Based Bioproducts
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performance. A key objective is to examine how different KG embedding techniques can facilitate complex query answering. These techniques vary in their representation spaces and in how they define relational