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efficient decoding algorithms" supported by the Luxembourg National Research Fund (FNR). The APSIA Group is seeking a highly qualified post-doctoral researcher for this project. For further information, you
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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associated with impaired development of inhibitory circuits in an ASD subtype. Using cutting-edge in vivo electrophysiology (Neuropixels recordings), behavioral testing, opto/chemo-genetic techniques, and
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associated with impaired development of inhibitory circuits in an ASD subtype. Using cutting-edge in vivo electrophysiology (Neuropixels recordings), behavioral testing, opto/chemo-genetic techniques, and
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Researcher, you will play a key role in developing next-generation quantum sensors based on photonic technologies, with applications spanning high-tech industries, space, and defense. Your work will focus
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composite tanks, both in the vehicle itself as in refueling stations. Indeed, the success of hydrogen fuel cell vehicles depends both on the development of safe storage options in the vehicle, as well as a
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project dedicated to decoding early human embryo development through cutting-edge stem cell-based embryo models, single-cell omics, with a focus on X-chromosome inactivation and cell fate. The project
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force measurements on actual textile manufacturing machinery in collaboration with leading industrial partners. The goal is to develop a predictive modelling framework that can serve as a digital twin of
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to develop an independent research agenda within this framework. Where to apply E-mail pietro.castelli@ulb.be Requirements Research FieldPolitical sciencesEducation LevelMaster Degree or equivalent Skills