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mission of unlocking the “geometry of artificial intelligence” then please apply! What you will do Singular Learning Theory (SLT) is a mathematical framework for analysing statistical models that do not
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and alignment of large language models (LLMs). In the last few years, LLMs found wide adoption in many areas of societal life. Their development, however, requires access to a vast amount of data and
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exoskeletons that regulate muscle–tendon forces during locomotion. This includes: Developing and calibrating real-time musculoskeletal ankle models (using CEINMS-RT), with emphasis on the Achilles tendon
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Deep-UV spectral libraries or real-time interpretation models for plastics currently exist. The successful candidate will therefore act as a first mover, building foundational datasets and AI models
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will design a novel, highly coarse-grained model of the nanocarrier and use Brownian dynamics simulations to investigate its assembly and disassembly mechanisms in relation to nutrient loading capacity
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the battery and propose design and operational strategies to overcome them. A core feature of your work will be combining multiphysics modelling for cell design with electrochemical testing, e.g. charge
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on activist initiatives in the Netherlands or Germany. We welcome candidates with interest in specific movements (e.g., local, identity-based, climate) and will collaboratively determine case study fit based
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the relativistic time dilation by only 1cm height difference in the gravitational field of earth. They are useful for searches of physics beyond the standard model, exploration of many-body physics, and societal
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Model physics. This is what you will do In particular, you will investigate the role of radiative corrections in beta-decay processes, new methods to better understand neutrinofull and neutrinoless double
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dimension of plant immunity, which has remained mostly unexplored to date, is the fascinating topic of this GreenTE position. The textbook model postulates that plant receptors recognize pathogen-derived