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education. Specifically, the tasks are: Design, implement and validate a tool to collect and analyze learning demands of learners. Design, implement and validate a modular software architecture that can
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. Both methodologies represent substantial advancements in the theoretical understanding of neural network dynamics and highlight different mathematical aspects of network "trainedness". By rigorously
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. There will be three research fellows appointed in different stages of the project. For this post, the successful candidate will primarily focus on developing LLM agents to support effective theory of mind
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involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work
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or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting
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acceleration approaches across different sensing and fault scenarios, thereby informing hardware and architecture trade-offs for future missions. (b) Designing and developing ML and AI algorithms to enhance FDIR
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world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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Qualifications PhD in Developmental Biology, Cell Biology, or related fields. Strong background in cell biology, different types of fluorescent imaging, and organoid culture required. Experience with model
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours