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appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or contribute to large
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Position Description The Centro de Investigación en Matemáticas (CIMAT) (https://www.cimat.mx/ | https://www.cimat.mx/en ), located in Guanajuato, Mexico, invites applications from researchers in
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areas of Statistics, such as complex and/or large-scale data analysis, complex models, computationally intensive methodologies, or at the intersection of these areas, considering both theory and
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-time faculty position in Mathematics, Applied Mathematics, or Statistics. This position responds to the need to strengthen the academic and disciplinary training of students in the Data Science and
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, quantum complex systems, quantum computer architectures, and quantum hybrid science. Successful candidates will be encouraged to define their own research direction based on their expertise and interests
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Southern University of Science and Technology, School of Medicine | China, Nuevo Leon | Mexico | about 10 hours ago
-education-research-industry' collaboration with its affiliated hospitals, teaching partner hospitals, and research cooperation bases. For more information, please visit: https://med.sustech.edu.cn/en
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-aware analysis workflows. Familiarity with biomedical data, longitudinal clinical data, EHRs, or hospital research environments. Experience with cloud, institutional HPC, or hybrid computing environments
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provides statistical expertise across research projects, supporting the analysis of complex human genetic and multi-omics data to uncover the biological mechanisms underlying health and disease. We
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in laboratory management. The job description may be changed during the contract period or upon contract renewal to the extent described above. Please see the following website: https://www.riken.jp/en
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programs at the FC. For further details on the FC visit https://www.fciencias.unam.mx/ . PROFILE OF CANDIDATES We encourage outstanding candidates in all areas of Actuarial Science, Computer Science and