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. (2025). Markowitz-Informed Neural Networks (MINNs): An interpretable deep learning approach to portfolio optimisation. SSRN Working Paper. https://doi.org/10.2139/ssrn.5336779 Random Matrix Theory and
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 30267440005 Is the Job related to staff position within a Research Infrastructure? No
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20 Jan 2026 Job Information Organisation/Company Universidad de Alcalá Department European Projects Office Research Field Technology » Computer technology Researcher Profile First Stage Researcher
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BIOS-06/A - A synaptic mechanogenetic technology to repair brain connectivity - CUP: J93C22002400006
of neural networks. The technology will be validated in mouse models of neurological disorders. Where to apply Website https://pica.cineca.it/units Requirements Additional Information Eligibility criteria
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FieldChemistry » Physical chemistryYears of Research ExperienceNone Research FieldChemistry » Computational chemistryYears of Research ExperienceNone Additional Information Website for additional job details https
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challenges, drive innovation in wireless networks, and develop promising personal careers. More information on the project: https://cordis.europa.eu/project/id/101227604 ANCHOR consortium is looking for highly
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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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about to obtain) a PhD in Computer Science or a relevant field. A demonstrable research record in an area related to cyber security and programmable networking. A strong publication record, commensurate
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a