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Field
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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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data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects for national and international
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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, CVPR, ECCV, PR, or PRL. Experience in leading and coordinating research projects. Experience in biometric data acquisition, sensor calibration, and dataset management. Expertise in deep learning, GenAI
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. • Experience in assembling, adapting and maintaining experimental devices, sensors, chambers, field structures or other environmental monitoring equipment. • Good organizational skills, autonomy and problem
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-area ElectroAnalytical, under a work contract for a non-fixed term, aiming at the development of electroanalytical sensors for the early detection of E. amylovora in fruit trees. 2. Applicable
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transition to a net-zero economy, electrical power systems are rapidly decarbonising supply whilst electrifying carbon-intensive demand. This is accelerating the integration of low-carbon technologies (LCTs
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the research center Sensible Things that Communicate (www.miun.se/stc ) and deals with sensor-based systems and services for use within the Internet of Things and artificial intelligence. Job description We
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 10 days ago
of Groningen. This position is embedded within the PROVIDE Doctoral Network (https://provide-dn.eu/ ), an international doctoral training program funded by the European Union that aims to address the global
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to sectors such as Geographic Information Systems (GIS), mobility management, the Internet of Things (IoT), and industrial sensorization. Tasks will include: Definition of reusable models and components