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Field
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of Position Student Position Time Status Part-Time Required Education N/A Required Related Experience N/A Required License/Registration/Certification N/A Physical Requirements Occasional lifting object up
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 3 months ago
investigate how children’s cognitive, emotional, and social development can be more effectively evidenced and tracked in real‑world school settings. The project provides opportunities to analyse authentic
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, including a strong track record of refereed publications and advanced skills in systematic literature review, data collection, and analysis of interviews and surveys. You will have proven problem-solving
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studies; (ii) Good track record of refereed publications, awards and competitive grants; (iii) Up-to-date knowledge in the literature of media and creative industries with demonstrated strengths along
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 3 months ago
use longitudinal survey methods to track common factors in therapy with autistic young people over time. They will use experimental methods to examine biases that might impact common factors in
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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10 years of post-graduate experience as research scientist, astrophysicist, engineer, or related scientific field-discipline; A track record of research in astronomy or astronomy-related techniques is
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Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an
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be awarded each year, with one scholar named in each of the following tracks: The Sachs Scholarship at Worcester College, University of Oxford, where Sachs continued his own education after Princeton
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objectives: 1 – Development of a tool for identifying operating regimes using machine learning techniques. 2 – Development of a tool for identifying the causes of process eco-efficiency degradation using