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career development of young investigators in the field of basic and translational hematology. Postdoc candidates will also have the opportunity to learn basic and clinical hematology, innate immunity
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools for data processing and analysis will be used. The fellow will also take part
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numerical and physical modelling studies to assess the agitation, stability, overtopping and pressures on maritime structures in ports and coastal areas and to evaluate ship behaviour in ports. The impact of
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systems. To achieve this, the successful candidate should be able to demonstrate capability in the application of a range of multiphase flow modelling techniques to challenges in the aerospace industry
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of lung inflammation in in vivo mouse models Assays for innate immune responses including ELISAs and Western blotting. Bone marrow cell isolation and maturation Flow cytometry To be successful
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floods—in mountain catchments. The goal is to understand long-term changes in runoff regimes and flood hazards by combining climate-driven (glacier-)hydrological modelling with reconstructions of past
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diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model
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). This work is part of a larger project aiming to develop novel battery thermal management systems (BTMS). The main tasks include (i) The development of an integrated model for the BMS-BTMS
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curiosity and the desire and ability to work independently. Experience with genetic mouse models and genomic approaches is a plus. Competitive salary and benefits are offered. The postdoctoral fellows in