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related field, with a focus on computing or data science. Additional requirements are: Significant experience in bioinformatics, genomics, computing, machine-learning, or other data science area
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. The applicant should be proficient in written and spoken English, and have good computer skills (e.g Word, Photoshop, BioRender, Excel). Also, it is important that the candidate demonstrates independence, as
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that diversity brings to our organization. Application Apply through our website by clicking the "Apply" button. A complete application must include the following electronic documents: A cover letter explaining
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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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pollen, lichen, zooplankton and disease vectors. In particular relating spectral characteristics of micro and nanofeatures on the targets and validating this through conventional methods such as electron
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facilities on campus such as the Umeå Centre for Electron Microscopy (UCEM) , BioMolecular Characterization Centre (BMCU) and Biochemical Imaging Centre Umeå (BICU) . Further, we are an international
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that the applicant wishes to claim. The application must be written in English or Swedish. The application is made through our electronic recruitment system. Documents sent electronically must be in Word or PDF format
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reference persons (email address, phone number with country code, postal address). The application must be written in Swedish or English and submitted electronically in Word or PDF format. The application
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initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in
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, computer simulations and various statistical approaches to increase understanding of the ecological and evolutionary processes that underlie speciation and ecological diversification in the context