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Field
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species’ distributions over time. The project will primarily use existing datasets in close collaboration with the project Past, Present, Future for the Alpine (PPF-Alpine, https
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interpreting DESI data. Developing new tools and techniques for data processing and analysis. Exploring the large-scale distribution of galaxies and its implications for cosmology. This position is ideal for a
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new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
latexes with a regular and dense distribution of dynamic/cleavable thioester [-S-C(=O)-] or disulfide [-S-S-] clusters along the polymer backbone. To confer new properties, we will exploit the thiol
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are especially affected by these changes as they are warming faster than the global average. Most plant species in these regions are therefore shifting their distributions to track the climatic conditions they
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rare genetic disorders, using both distributed and federated computational approaches. Your key responsibilities include: Analyzing large-scale genomic datasets using innovative computational techniques
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mountain regions with different levels of climate variability, and (3) whether recent changes in climate variability can explain observed shifts in species’ distributions over time. The project will
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. - Compilation of a curated catalog of archaeal genomes from public data and newly obtained data within the team. - Orthogroup inference, multi-clade pangenome graphs to detect genes with restricted distributions
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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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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical