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Field
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of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). - Conduct cutting-edge research at the intersection of quantum information, machine
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and Disease-Related Networks team, led by Dr. Gergo Gogl, is seeking a highly motivated postdoctoral researcher with a strong background in recombinant protein technologies and biochemistry. Our team
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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and guidance system for these micro-swimmers, interacting with real-time optical visualization in a microfluidic network. • Study of the fidelity of the movement of micro-swimmers to the set trajectory
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multi-modal models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated
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launched as part of the ANR OCEANLINKS project [Bound by Seas and the Ocean: Coastal Anchoring and Networks of the International Scientific Community]. Within this project, the postdoc will contribute
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per week. The remuneration will consist of a gross annual salary 34416 EUR salary (gross amount for the employee before tax). Of this amount, the estimated net salary* to be perceived by the Researcher
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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and
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the advent of the Internet of Things (IoT), any sensor can be interfaced with a local network or the Internet. This massive deployment has created many security issues and associated solutions
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, theoretically grounded, and explainable. The research sits at the crossroads of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). Key research