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(Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine cutting edge observations
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research project “Is the brain network involved in sentence comprehension replicable and robust?”, led by Dr. Jurriaan Witteman. The project will investigate the neural mechanisms underlying sentence-level
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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the transition. You will work multidisciplinary within a large network of partners from academia, government and the private sector, acting as a link between knowledge, policy, practice and business. Your
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) conditions. Your work will provide the "ground truth" for the project. By simulating complex inflow conditions, you will create the high-fidelity datasets required to validate the Wind Field Forecasting (WFF
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the nacre in seashells, by combining them with soft organic polymers. This project proposes a method to mimic this by using 3D-printed concrete as a scaffold to guide the growth of a chitinous fungal network
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in confined polymer systems. (Synthesis of complex polymer architectures will primarily be carried out by the partners in Dresden.) Information and application Interested? Send your application before
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? If yes, then you might want to join the Ultracold Strontium Group
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affinity with or demonstrable interest in climate adaptation, infrastructure governance, or organizational change in complex institutional settings experience publishing in or submitting to leading
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-resolution microscopy, to resolve synaptic protein complexes at high resolution in defined synapses in brain tissue. The successful candidate will be a member of the MacGillavry lab that is part of the larger