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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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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Human–Robot Interaction
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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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% super Pioneering multicellular interface modelling within an open source framework and three translational case studies. Apply now to develop unified multicellular modelling tools and drive experimental
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% super Pioneering multicellular interface modelling within an open source framework and three translational case studies. Apply now to develop unified multicellular modelling tools and drive experimental
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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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performance in industry-grade environments. Where to apply Website https://networks.imdea.org/job/phd-student-position-in-heterogenous-programmabl… Requirements Research FieldComputer science » OtherEducation
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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