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collaboration will be positively evaluated, in particular if the candidate has shown an ability to combine experiments with theory/modeling. Good communication skills are a prerequisite. Required qualifications
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. Long-horizon and safety-aware planning under uncertainty. Function 2 2. Learning-Based Perception and Control Multi-modal and foundation-model-based approaches for robotics, including: Multi-modal
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for modelled signal characterisation with a wide range of applications that goes from very low Gravitational Wave signals to Gravimetry. Fellowship 5 – Investigation of the electro-optic properties in BaTiO3
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, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will have the opportunity to join the science teams of three major Mars
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. The aim is to develop and analyze advanced models that integrate heterogeneous maritime data sources - such as AIS, metocean, emissions, port, cargo, and business data - to improve predictions of costs
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with expertise in cancer cell metabolism and blood cancers. Ideal candidates will have experience in genetic mouse models, cytometry, cell culture, and metabolic analyses. The project uniquely provides
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developing generative protein design models that capture dynamics and function, as catalysis depends on motion. Through collaborators at the Generative Biology Institute, we will continuously evolve our
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hands-on work using E. coli as a model organism. Experience in techniques such as molecular cloning and genetic engineering is expected. Prior experience with directed evolution approaches, including
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for training next generation protein design models. Applications will be reviewed on a rolling basis. In your cover letter, please clearly explain your fit, interest, and relevant experience for joining
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. Perform advanced statistical analyses using appropriate methods (e.g., linear mixed models). Lead manuscript preparation, including drafting and submission of peer-reviewed publications. Prepare abstracts