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electrical power systems! Information The power and energy systems community is increasingly interested in emerging computing technologies, including quantum computing, to address challenges in power system
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on wind turbines and ships. This involves advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement
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or field settings. Work with our partners in industry to organise data collection. Disseminate research findings at both internal and external events for the scientific community and stakeholders. Be
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responsible innovation, and designing solutions that create societal value. Our educational programmes span disciplines such as Psychology, Business Administration, Public Administration, Communication Sciences
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interdisciplinary communication skills. This is a 3-year position. This postdoctoral position is funded under the ZonMw project AI-HCC: Explainable AI for Prediction and Early Detection of Hepatocellular Carcinoma
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on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A meaningful job in a dynamic and ambitious university, in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The challenge Children on the autism spectrum and their others often experience communication challenges
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testing them in lab or field settings. Work with our partners in industry to organise data collection. Disseminate research findings at both internal and external events for the scientific community and
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experience with plant–fungal bioassays and molecular techniques (e.g. DNA extraction, qPCR, sequencing) applied to microbial communities. Skills in designing and executing experiments is a pre, especially in
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possibility to directly collaborate with industry partners such as Canon, Philips, ThermoFisher, Siemens and others. Information Large Language Models are known to hallucinate. Techniques such as In-Context