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part of the larger project. The scope of the PhD project is to implement, use, and where required develop, statistical machine learning tools to identify DNA mutations that cause particular types
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-resolution, open-access climate projection ensembles with statistical and machine learning-based resampling techniques (e.g., k-nearest neighbours) to simulate weather-dependent energy supply and demand
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, conservation biologists and demographers. Contribute to teaching 10% of the time, by supervising BSc and MSc students, and assisting on courses. Organisation Founded in 1614, the University of Groningen enjoys
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, Soft Condensed Matter Physics , Soft Condensed Matter Theory , Soft Matter , Space Technology and its Applications , spin-orbit coupling , Statistical Mechanics , Statistical physics , Stellar
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and biosensors for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: MSc degree in the fields of biophysics, soft matter physics, physical chemistry, computational
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Reporting. For any subject-specific queries, please contact Dr Faizul Haque (F.Haque@soton.ac.uk ). Banking and Finance: seeking students with expertise in Big Data Modelling. An MSc degree in Statistics
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international conferences; Participate in strategic planning and dissemination activities in coordination with other partners. Key Skills, Experience and Qualifications MSc (or equivalent) in Data Science
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the dissemination of research findings through conferences, seminars, and other scientific events Your qualifications and skills: You hold a MSc in plant science, crop science, biology, or related field. You have
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to metocean statistics and development of software packages related to the generation of said statistics. This work amounts to 25% (one year) of the total project period and allows the PhD project to run over a
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hold a MSc in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern