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or other forms of appointment/assignment relevant to the subject area. Required skills: Strong background in aquatic ecosystem science Proficiency in GIS and analysis of long-term environmental data
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partners at other institutions. The bioinformatician will contribute to hypothesis generation, experimental design, data analysis, scientific presentations, and manuscript preparation. The position requires
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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the expression, purification and functional analysis of recombinant proteins, or alternatively in cell and molecular biological studies of mitochondria. The candidate is expected to have a strong track record in a
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engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge of numerical methods for PDEs, expertise in High Performance Computing
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experiments, cutting-edge NMR spectroscopy and isotopomer analysis (doi: 10.1111/nph.20358). Two postdocs will work together to conduct plant ecophysiology experiments, and to analyze samples by NMR
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method development, and various molecular biology and biochemical analysis techniques. You should also have a strong research track record, as evidenced by first authorship publications in relevant
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The Faculty of Natural Resources and Agricultural Sciences at the Swedish University of Agricultural Sciences contributes through research, teaching and continuous environmental analysis with
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methods. You should have practical experience in molecular cloning, expression and purification of recombinant proteins, various biochemical, biophysical or molecular biological analysis techniques. You
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with significant contributions to the field both with respect to experimental design and high-performance computing protocols for data analysis, visualization, and interpretation. We also use and develop