120 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Southern Denmark
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three years. Employment stops automatically at the end of the period.(the 5+3 programme ). Further information about the PhD programme at the Faculty of Science can be found at the homepage
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Job Description Student Assistant – Electronic Nose Systems Are you a Mechatronics student with a passion for sensors, embedded systems, and intelligent technologies? Join us in developing cutting-edge electronic nose systems! We are looking for a motivated Bachelor’s or Master’s student in...
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Biology, Mathematics and Computer Science, and Physics, Chemistry and Pharmacy—comprising 500 employees and 2,000 students. You will have opportunities for professional growth and training, a supportive and
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems, and modelling and
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basic research. We are happy to move beyond traditional disciplines and work to develop new technologies and sciences across physics, chemistry, pharmacy, mathematics, computer science and biology. The
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to join a cutting-edge research project at the intersection of microelectronics and quantum computing. As the quantum computing field rapidly advances toward large-scale, fault-tolerant systems, one
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or related fields Have experience in conceptual research and theory building. Have command of quantitative or qualitative research methods and related software. Preferably first teaching experience
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community that is internationally recognized for excellence in research and a strong commitment to interdisciplinary methods and approaches within the social sciences and beyond. Within the Department
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection