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data. For this, the applicant will generate in silico datasets from diverse computational models of development, such as models of tooth development and gene regulatory networks. They will leverage
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/researcher position is available in Mariana Braga’s group at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. Research in the Evolving Networks lab (evonetslab.github.io ) centers
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://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send
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provides excellent access to research infrastructure, including databases, computational facilities and instrumentation, as well as to clinical materials and networks and training activities. The four
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be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising
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of this project is to evolve and adapt these wet-lab methods and apply them to environmental samples to gain new biological insights. The focus will be on food products – for the purpose of ensuring food safety and
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working with IgBLAST or similar immunogenomics tools Expertise in B and/or T cell receptor data analysis Documented experience in teaching and scientific communication Understanding of data security