33 computer-science-intern "https:" "https:" "https:" "https:" "DESY" Postdoctoral positions at University of Southern Denmark
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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ambitious and supportive, international research environment. A dedicated supervisor research team to support the academic development of the postdoc. Access to high-performance computing resources and modern
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Odense, the Department of Mathematics and Computer Science offers an inclusive and international working environment with state-of-the-art facilities as well as a strong tradition for collaboration across
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visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . If you experience technical problems, you must contact hcm-support@sdu.dk . Further information for international applicants about
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biomedical engineering, mechanical engineering, robotics, medical image computing, or a related field, together with relevant experience. Strong publication record, commensurate with career stage Possess
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hold a PhD degree, or have obtained one at the expected start date, in data science, epidemiology, or a related discipline. International applicants are encouraged to apply for the position. Applicant
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international level in areas of relevance to Political Science and Public Administration, Conduct relevant teaching and supervision within the department's entire portfolio of study programs, including the full
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fields of journalism studies or political communication, but we invite candidates with a PhD degree from a broad range of fields, such as communication, political science, computer science, media studies
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development through the Lecturer Training Programme and mentoring. An open and collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics
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collaborative project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis