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/ This postdoctoral fellow position is part of a new Career Programme for early-stage researchers in Educational Sciences initiated by the Umeå School of Education. The Career programme aims to strengthen Educational
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analysis, Python programming, and deep learning frameworks (e.g., TensorFlow, PyTorch) is expected. Prior work in cancer research or medical imaging is an asset. The successful candidate will join an
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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Proven experience in NEXAFS and XPS with synchrotron radiation is required Experience in other spectroscopic techniques, advanced data analysis and/or programming skills is a strong plus Experience in
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position is part of a five-year research program funded by the Wallenberg Foundation, which aims to develop and apply computational tools to understand the evolution of biodiversity (see https
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of numerical methods for PDEs, expertise in High Performance Computing and proficiency in a programming language. Excellent written and verbal communication skills in English, the capability to conceive, execute
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on the development of new perennial cereal grains within an extensive domestication and plant breeding program. Your research work will focus on questions of genetic and phenotypic diversity and to develop genomic
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is carried out in close collaboration with industry and academic partners. Main responsibilities Develop a research plan and design test configurations in collaboration with senior researchers. Perform
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publications in relevant research area. Candidates must be fluent in spoken and written English and highly motivated. Candidates are expected to pursue and plan research independently, but also to function in a
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stakeholders and research teams in remote communities. Enthusiasm for teaching and student engagement. Language skills in English and Swedish Desired Qualifications The following will strengthen a candidate’s