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state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational campaigns. Key responsibilities Design and execute in silico protein and
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. In 2022, UCA joined the "Top 17" French universities holding an excellence label, with the unifying theme: designing sustainable living and production models. * General overview of research at UCA
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testing and optimisation of various decarbonisation scenarios. For more information please visit the TransiT website https://transit.ac.uk/. We are seeking a proposal for a project contributing to Digital
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supervisor Remote/Telecommuting No remote/telecommuting opportunity Position Summary Research Technologist will perform neuroscience research in mouse models of neurodevelopmental disorders. This person will
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 17 days ago
mutual agreement) at the IT4Innovations national supercomputing centre is open to applicants. The Material Design group led by Dr. Dominik Legut within the Modeling of Nanotechnology Lab is looking
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Description We are seeking an exceptionally motivated and ambitious Postdoctoral Researcher to join our team at the Neuro-Immuno-Oncology and Cell Therapy group (https://kinderkrebs-forschung.de/en/research
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 30 days ago
on bubble coalescence using innovative multicolour thin-film interferometry # Evaluate synergistic effects between ions in recycled water and added frothing agents, and determine film lifetimes for model
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retinal degeneration in the context of ciliopathies, with a particular focus on Alström syndrome, using both in vivo models (particularly murine models) and in vitro systems (fibroblasts, iPSCs, retinal
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? Do you like studying physical systems with wide impact in society? Then, this PhD position is ideal for you! Information This PhD project aims to develop advanced fluid models for low-temperature
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Professor Kilian Huber (University of Chicago) to implement new AI methods for the study of firms’ cost of capital based on textual analysis. The project uses large language models and other AI tools