103 algorithm-development-"Prof"-"Prof"-"Prof" positions at University of Southern Denmark
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, interconnected research environment. The academy is designed to be a cornerstone of Denmark’s research landscape and a hub for innovation, talent development, and scientific community-building. Your Role As
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supportive, dynamic, and designed to foster creativity and the development of innovative projects. We offer: • Access to state-of-the-art equipment, facilities, and infrastructure. • A competitive salary and
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Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation
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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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will be to apply for and manage innovative research projects, develop research environments around these projects, as well as to support early career researchers. You will also be expected to teach and
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to develop novel and ready to deploy technical solutions in a transdisciplinary manner. SDU HIT has a large portfolio of transdisciplinary projects involving numerous partners from healthcare, academia
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an open, international team with flexible work organization and support of individual development. The Centre is involved in a variety of national and European projects and features a strong network of
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stakeholders and policy makers. A documented ability to secure external research funding is seen as an asset. We expect the successful candidate to actively engage in the development of the research centre and
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candidate will be given extensive freedom to pursue personal ideas and to develop the postdoc project individually within the overall frame of the project. To be eligible for the position, the applicant must
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information from medical images, improvement of image quality to support dose calculation and adaptive treatment delivery, and statistical modeling of patient data as well as development of efficient methods