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Techniques Laboratory description : Laboratoire Interdisciplinaire Carnot de Bourgogne As part of the LabCom TeleMAQ (Testing the Limits of Quantum Machines and Algorithms) project, established between
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typically require stable quantum bits with long coherence times, this research proposes innovative programmable algorithms that can harness the power of imperfect quantum simulators to tackle complex
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genomics, population genetics, and machine learning. The successful candidate will contribute to method development, software dissemination, and scholarly publications. Duties and Responsibilities Lead
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microbiology, bacterial genetics, CRISPRi approaches, and bioinformatics analyses to identify the molecular and genetic determinants underlying strain-to-strain differences in stress responses. In particular
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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aerosol properties from satellite observations using advanced inversion algorithms (such as the GRASP retrieval framework: https://www.grasp-earth.com/ ). Website for additional job details https
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. The Associate will have the opportunity to engage with not only activities at the Economics department, but also at the Cowles Foundation and the Center for Algorithms, Data, and Market Design (CADMY). Applicants
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Research FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements Hold a PhD in Biomedical Sciences or a related discipline. Proven research experience in genetic engineering, molecular
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new technologies for genetic privacy, a problem requiring molecular and computational systems to be designed together rather than sequentially. The postholder will join an active team developing
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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with