14 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Umeå University
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, Python, Fortran, or comparable computational environments is highly desirable. Excellent written and oral communication skills in English are required. Knowledge of Swedish is not necessary. Merits
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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the role of autologous fat and muscle cells in breast reconstruction with autologous tissue transfer. The position involves working in parallel with several different cell types, which requires the ability
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agreed upon. The Department of Computing Science The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research
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, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
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experiments, 2) carry out research within the scope of the group’s program, 3) establish methods, 4) analyze research data, and 5) communicate results and present findings at national and international
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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. Information about the group's research can be found on our website https://sixtlab.org/ For more information about the position contact Dr. Barbara Sixt, barbara.sixt@umu.se Additional information We look
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brain imaging methods as a window into human brain plasticity. Projects will combine new data acquisition with analysis of existing datasets, and may leverage: MRI (structural, diffusion, and functional