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Field
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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. Where to apply Website https://phd.fbk.eu/calls/detail/designing-for-urgency-interaction-design-framew… Requirements Research Field Other Education Level Master Degree or equivalent Additional Information
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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approaches for drug design by combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038
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Gabriel Hétet, in close interaction with members of the team and other research groups within the laboratory. The Nano-Optics team conducts research at the interface of nano-optics, photonics, and
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you would like to have an informal chat about this project. References https://sites.google.com/site/danadamian Funding Notes We welcome inquiries from: - applicants that have already secured PhD
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environment. The applicant will join the team ACIDE ( https://www.isir.upmc.fr/teams/acide/?lang=en ) at ISIR, a broad group of researchers interested in embedded action, cognition, interaction and
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your PhD project Financial support in accordance with EPFL doctoral student conditions The opportunity to work on rigorous, practically relevant research at the interface of operations, economics, and
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of design and interface choices in supporting privacy rights. The successful candidate is expected to develop an independent PhD project that fits within the broader aims of DECODE and contributes to