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, academic institutions, and industry Qualifications The successful candidate would ideally fulfill more of the following points PhD degree in Electrical Engineering or a related field with a focus on energy
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://www.science.org/doi/10.1126/science.adl0544 . Here we identified how the peripheral sensory nerves are activated in a mouse model of migraine with aura. In this current project we will investigate the engagement
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. The successful candidate’s contributions will be to identify gaps in current technology, evaluate industry practices, and develop impactful security guidelines. Key responsibilities of the postdoc include
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. Establish independent research areas. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering
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, which your fellow colleagues will then fabricate and test in the lab. Responsibilities and qualifications You will model how the magnetic field changes the current flow in a sensor depending on the
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of characterization tools (electrical, optical, x-rays, surface science, spectroscopy, microscopy, etc.) Solar device/stack engineering As a formal qualification, you must hold a PhD degree (or equivalent). You are
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transformation, algorithm engineering. Applications of these areas to systems chemistry, systems biology, metabolic networks, or microbial communities is an advantage but not a must. Solid competences in
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The CardioTech Research Group at Aalborg University’s Department of Health Science and Technology is seeking a Research Assistant to support our ongoing projects in cardiovascular sensing, digital
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Foundation, and focused on solving the global problem of thermoset plastic waste. By discovering and engineering enzymes to degrade these highly durable plastics, En’Zync is building the foundation for a
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; design web scrapers and API pipelines to extend coverage (e.g., technology-adoption series, Google Trends time series); maintain versioned, documented datasets with clear codebooks. Measurement modelling