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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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measurements using sensor arrays (electronic noses) * good command of English (minimum B2 level) * a minimum of 10 publications in JCR-listed journals Additional Information Benefits * employment at one
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the opportunity to build superconducting electronics that can be controlled electrostatically, which avoids magnetic fields that can interfere with other superconducting devices, such as quantum sensors or qubits
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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor
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or geophysical sensors. Ability to collect, process, and analyze complex environmental datasets. Proficiency with scientific programming and data analysis software. Ability to prepare technical reports
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; Artificial intelligence and machine learning applications; Simulation technologies; Sensor integration and data acquisition systems; Version control systems (Git); Cloud and local computing environments
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strategic planning. This position plays a pivotal role in enabling leading-edge research and development in microelectronics, sensors, materials, micro optics, and nanotechnology. The successful candidate
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, etc.), (iii) Evaluation of interactions and potential conflicts between subsurface uses, (iv) Monitoring of subsurface structures (sensors, passive seismics, etc.) and surface impacts (satellite
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part of the Innovative Health Initiative (IHI) project AF-B-STEP (Quantifying Atrial Fibrillation Burden to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/) , we aim to establish
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, digital phenotyping, wearable sensors, and/or computer vision methods. Interest in clinical and translational research, and the ability to work closely with clinicians. Fluent in English (German