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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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. The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute to the development
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of work. The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute
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conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career
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desired: Training in participatory action research, strong data analysis skills, experience using and managing Qualtrics surveys; experience in SPSS; primary data collection; supervision; organization
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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proteome across the tree of life. The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a range of phylogenomic methods to understand their ancestry
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, within core working hours. However, there is flexibility in which days and hours the work is carried out each week. The main responsibility of this role is to provide a service for an external company, so
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expected for all topics. The candidate has obtained excellent grades in his/her Bachelor and Master educations, demonstrated outstanding problem-solving skills, and good communication skills in both spoken
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function as a creative community engagement to experiment and collaborate with ‘invasive weeds’. The successful applicant will work on the project alongside Prof. Cheryl McEwan (Principal Investigator