17 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Hereon" Postdoctoral research jobs at Umeå University in Sweden
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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has about 160 employees, about 30 of whom are postdoctoral researchers. For more information, visit: https://www2.umu.se/en/department-of-ecology-and-environmental-science/
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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ Project
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. Prof. Silvia Remeseiro, MTB / WCMM, via silvia.remeseiro@umu.se More information aobut the research in Remeseiro’s group is available through the following websites: https://www.umu.se/institutionen
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of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en
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of the agreement on fixed-term employment as a postdoctoral researcher. More information about the group’s research can be found on our websites: https://www.umu.se/forskning/grupper/covid-19/ https://www.umu.se/en
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support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with the Associate Professor Zoe Falomir. Interested
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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research competence, Contact information for two referees who are willing to act as references, Other documents that the applicant wishes to claim. The application, including attached documents, must be
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in