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represents a major bottleneck for the study of complex catalytic interfaces. Objectives The objective of this PhD project is to develop data-efficient machine learning strategies to study CO₂ hydrogenation
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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direct metal-protein interactions in cell is key to answer these questions, yet it is also a challenge due to the labile character of these interactions. Project: We aim to identify the protein interactome
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | about 19 hours ago
evolutionary processes in aquatic environments and their interfaces, from headwaters to the ocean, assessing ecosystem status, and developing scenarios for their future evolution. The PhD project will be
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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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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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of results at conferences interaction with team members and international collaborators Required skills : Degree : PhD in computer science, machine learning, or computational biology We expect a candidate with
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, see https://www.ntnu.edu/studies/phiot . As a PhD Candidate, you are obligated to participate in an organized PhD program during the employment period. A condition of appointment is that you are
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is actively promoted by the Faculty of Science, fostered under the University-wide six Interdisciplinary Labs (https://interdisciplinary-research.hkbu.edu.hk/), and supported by state-of-the-art
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 23 days ago
, charge, hydrophobicity) and (ii) probing peptide-surface interactions at the single-molecule level. Scientific objectives This PhD project aims to extend this approach along two complementary axes. A