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Field
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develop science-driven analyses that help inform future sensor requirements. The position also provides opportunities to investigate how modern artificial intelligence and scientific machine learning
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Vacancies PhD position on hermetic packaging of microfluidic sensor chips without glue or elastomers for ventilators and multi-infusion systems To vacancy overview Apply now EEMCS PhD PhD position on
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data collection, sensor algorithm development, marine environmental modeling, and research, development, testing, and evaluation (RDT&E) of uncrewed systems (UxS) and ocean observing technologies. The
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Arctic environments such as Greenland, where the flights take place in severe cold. You will work on sensor systems that withstand the arctic cold and, on the localisation, mapping and mission
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candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders
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transfer.- Programming and algorithm development.- Excellent communication skills and fluency in written and spoken English.- Strong motivation and commitment to work in a collaborative and
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provide scientific and methodological support in spatial modelling, the integration and analysis of spatial, longitudinal and sensor-based datasets, and empirical studies using field-based sensor
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, computational biology, numerical analysis of partial differential equations (including ice and ocean dynamics), computational statistics and machine learning, as well as algorithm design and discrete
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self-supervised learning and multimodal representation methods suited to heterogeneous multi-sensor experimental data. Investigate the ability of learned representations to extract relevant information
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sustainable agricultural production. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and