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Engineering and a strong background in experimental magnetism. The position, based within Prof Jason Robinson's research group at the Department of Materials Science & Metallurgy, is part of the project
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scientific programs with a strong focus on Electroweak and Beyond the Standard Model physics. Participation in the development and performance of physics and detector simulations for high-energy and nuclear
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loggers to collect environmental data and use of imaging system/tools Analyze plant nutritional quality using spectrophotometers and HPLC Statistical analysis and preparation of manuscripts for publications
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analyses and write-ups for the study alongside the Data Coordinating Center. Mentorship of junior team members, including graduate students and staff. Analysis and write-up of papers from already collected
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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thereafter. The position is a fixed-term full-time position for 27 months. The Department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research
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(University of Bristol). This project seeks to deliver a step-change in how we understand the dangerous eruptive transitions that are associated with significant disruptions and fatalities. The project will use
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data