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, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research potential at the international level
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simulations using, e.g., COMSOL, Lumerical, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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Greenland. Learn more on aqua.dtu.dk . Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to
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only some of the above areas, but who are motivated to learn the remaining techniques, are also encouraged to apply. It is furthermore an advantage that the applicant Has experience with industry
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relevant tasks. The department can offer postdocs who teach up to 20% of their working hours, the Teaching and Learning in Higher Education programme without hourly compensation. Qualification requirements
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Embedded AI, Edge AI, TinyML, and AIoT, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
environment toits 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more atwww.international.au.dk/
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Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process