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available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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will be integrated into the networks of UiT and the Arctic Science Partnership. Thesis work will be part of the Micro-SHIFT project, led by Associate Professor Karley Campbell. The applicant must present
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) to tackle climate change (e.g., detecting and quantifying greenhouse gasses). He has been a co-PI of the EEA project HAPADS (2020-2024) , developing efficient CPS and low-cost smart sensor technologies
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candidates/candidates who are in the closing stages of their master’s degree can also apply Solid background in artificial intelligence and machine learning, including deep neural networks Programming
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will be integrated into the networks of UiT and the Arctic Science Partnership. Thesis work will be part of the Micro-SHIFT project, led by Associate Professor Karley Campbell. The applicant must present
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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research network, participate in collaborative activities, and contribute to knowledge exchange across partner institutions. The position offers a unique opportunity to contribute to the development of new
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climate impact, future gas turbine technology must be capable of operating using alternative low or zero carbon fuels and fuel blends to support the emergence of zero net CO2emission energy systems. However