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Field
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of the R & D Project LEAF - “SeLf-powered self-rEshaping Autarkic skin For wireless motes”, (ref. 101186701), financed by European Union (Horizon Europe) Main attributions and activities and exclusivity
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challenges, drive innovation in wireless networks, and develop promising personal careers. More information on the project: https://cordis.europa.eu/project/id/101227604 ANCHOR consortium is looking for highly
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ICT Services & Applications. The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus
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research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department
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of naturalistic behavior. The successful candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on naturalistic behavior
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
extracting mesh representations of shape and pose from image data by leveraging existing methods and/or developing novel approaches, as part of the larger goal of bringing our model(s) into active adoption
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for a Doctoral Researcher for a project funded by the Sigrid Juselius Foundation . This project will study how the Gene Regulatory Network of Klebsiella pneumoniae responds to antibiotics, including its
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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role Optimize monitoring strategies for predicting climate-driven slope risksShift from expert-driven, semi-random sensor placement to model-based Optimal Experimental Design Improve parameter