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team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports• Schedule meetings with co-PIs, collaborators on-site or off-site
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field data, the research assistant will help assess the accuracy, robustness and operational value of these algorithms for large-scale forest inventories and the detection of endangered species
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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. The position will require a good working knowledge of radio interferometric observational techniques and/or a good understanding of optical spectroscopic survey data to understand galaxy formation and evolution
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Experience of performing bioinformatics Experience with analysing data
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isolation impacts the processing of aversive and rewarding cues. The successful applicant will already have some experience with brain imaging (either collecting data/analysing themselves or having completed
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range of activities, including: Conducting home visits to families to collect rich, naturalistic data using infant head-mounted cameras, infant head-mounted eye-tracking, and observational methods
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to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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support a collaborative project to establish and develop The National Mental Health (MH) Translational Research Collaborative's Secure Data Environment (MH-TRC SDE). The appointee will work with the