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reaction pathways, particularly scaling relationships and their implications for catalyst design. Spectroscopy and Instrumentation: Hands-on experience in the design, construction, and operation of in-situ
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experimental activity including microfabrication, electrical control and quantum optical characterization of the devices using advanced optical excitation schemes. You will work in our quantum optics laboratory
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
Experience in stakeholder engagement and co-creation and collection and analysis of information and data from stakeholder processes Experience in the quantitative and qualitative methods pertaining
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Experience in stakeholder engagement and co-creation and collection and analysis of information and data from stakeholder processes Experience in the quantitative and qualitative methods pertaining
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. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum
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www.wind.dtu.dk If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be
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Electronics for biosensing (including analog/digital circuit design and signal processing) Implantable or wearable devices Optical and electrochemical biosensing techniques Experience working in
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems