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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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Your Job: At the Institute for a Sustainable Hydrogen Economy - Catalytic Interfaces for Chemical Hydrogen Storage (IHE-1), we investigate fundamental mechanisms and processes of chemical hydrogen
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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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electrocatalysts During your PhD, you will interact closely with colleagues within the electrochemistry department, the Swiss Light Source, and international collaborators Where to apply Website https
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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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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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in France and where interactions with wildlife is more likely to occur. Moreover, the wild boar-domestic pig interface faces many changes such as increasing wild boar abundance, changes in hunting
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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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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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). These instruments exploit contrast variation, a powerful neutron technique, to resolve molecular-scale structures at complex interfaces invisible to other probes. The aim of the PhD project is to understand