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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and
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approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas/solid and liquid/solid interfaces are revealed. In particular, structure-reactivity correlations
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demonstrated independent thinking and problem-solving abilities. Experience using large databases is preferred, and genetic data analysis skills are desirable. Required Qualifications PhD or MD in Public Health
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disorders using secondary data analysis of UK-based cohort data. This position is part of a Medical Research Foundation-funded project. The project is titled “Investigating Food Insecurity and Eating Disorder
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sensors. You will also lead the analysis of the acquired data and be involved in beam test campaigns at accelerator laboratories. Other tasks relating to mechanical and electrical developments could also be
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analysis followed by online interviews for shortlisted candidates.Questions: academicoiea@usp.br.More information: www.iea.usp.br/pesquisa/oportunidades-pesquisa/fapesp-economia-politica-internacional-3
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while