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Field
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to provide visa sponsorship for this position. Basic Qualifications: Proficiency in coding (Python) and deep learning frameworks (PyTorch) with a drive to enhance these skills. Familiarity with one of the AI
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analyses such as RNA‑seq library prep, single‑cell workflows, qPCR, Western blotting, ELISAs, and multiplex assays. Integrate multi-omics datasets using R or Python; collaborate with bioinformatics core
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, with a 4th Krios microscope being installed, an Aquilos2 cryo focused ion beam scanning electron microscope (cryo FIB-SEM), a Hydra plasma cryo FIB-SEM, multiple screening electron microscopes, cryo
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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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only put one (1) job title for each entry (multiple job titles for one employer must have separate entries), the # of hours worked per week and your ending salary. You will also be required to upload a
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management concepts to integrate multi-variable, complex data from multiple sources, including laboratory results, field reports, and public health records. The role includes the development and management
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Experience with Python or R for statistical coding and visualization of data Key Responsibilities 30% - Research Data Preparation 30% - Statistical and Data Analysis Support 30% - Research Data Reporting
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Other Computer Applications: Programming languages (such as MATLAB, Python, C, Java) and Graphic Design software (such as Adobe Illustrator or Photoshop) Required Additional Knowledge, Skills and
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multiple affiliations. Postdoctoral Associate – Climate, Biodiversity, and Health Surveillance in Latin America and the Caribbean Be You. The Amazon Research Consortium for Climate Change and One Health (ARC
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with multiple programming languages and computational environments, including UNIX-style operating systems, command line interfaces, R, perl/python or similar, and SQL or other database software