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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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integration and statistical analysis while offering comprehensive data-driven decision support by overseeing the cleaning, integration, analysis, and storage of diverse datasets. The bioinformatician will work
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. Expertise in data collection and analysis methods. Excellent written and verbal communication skills. Ability to work both independently and collaboratively in a team environment. Responsibilities: Conduct
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machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy. Research directions will be flexible and shaped according to mutual
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relevant global data bases. A team player with excellent organisational and management skills you will use mixed methods research including meta-analysis, interviews with women, partners, and healthcare
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The objective of the post is to contribute the delivery of a collaborative project funded as part of the UKWIR Chemical Investigation Program 4 - Emerging Substances Endocrine Disruptors project
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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only
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researchers to improve the understanding, diagnosis, treatment and lives of children with brain tumours. Role Summary Deliver the research aims outlined within the Grace Kelly Childhood Cancer Trust grant
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behavioral analysis to uncover how molecular pathways shape brain function, aiming to bridge molecular and systems neuroscience. Our core platforms include: 3D & 4D confocal fluorescence microscopy 1P & 2P
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of and ability to conduct data analysis; (d) an excellent command of spoken English; and (e) the ability to work independently and meet the work schedule. Applicants are invited to contact Prof