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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable that this PhD scholarship is
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became available for patients with specific SOD1 gene mutations (<1% of all ALS patients). The main objective of this PhD project is to develop gene-targeted therapies for newly identified ALS-associated
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of ~1.6 million objects both with median precisions of ~0.25 mas. There are several conflicts in searching for the best reference sources, stable and with a short optical-radio link. First, quasar centroids
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an active participant in the Agile way of working by contributing to process improvement, planning and tracking the team's work, reviews and progress demonstrations, and coordination with other teams
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for ensemble measurements as well as single nano-object investigations to uncover the underlying light-harvesting physics. The goal will be to measure the EEE diffusion length via the monitoring of exciton
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to locomote towards objectives, remodel their environment or exchange information with their pairs. Self-contracting networks are a good candidate to create artificial soft materials with similar living matter
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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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that may impact the trip of an individual. Developing a method for multi-objective, personalized (re)routing, i.e., generating routes and offering route suggestions based on mobility behavior, travel
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Psychology Group at the University of Vienna. This currently includes one full professor, one tenure-track professor, four postdoctoral researchers, four PhD students, an organisational assistant, and student
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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