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research on the domestication and breeding of perennial cereal grain crops at the Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden. About the position Our research group is working
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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This postdoc project aims to address a critical challenge in quantum computing: errors in superconducting qubits caused by cosmic radiation, which cannot be corrected using existing methods
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evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
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science, and two more are for photoemission and electron-ion coincidence studies on gases, clusters and liquids. There is also a port for the user-defined experiments. A description of the beamline can be
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
The Department of Applied Physics and Electronics , Umeå University, currently has about 100 employees and conducts research in areas such as energy technology, laser spectroscopy, medical
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Uppsala University, Department of Medical Sciences Are you interested cutting-edge genomics technologies and eager to contribute to developing methods at the forefront of life science? We
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description