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-tune the language models that power the scoring. This role is ideal for someone looking to get hands-on experience building tools for the scientific community. The position is full time (40 hours per
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (http://biennialreport2018-2019
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. Demonstrated research experience in climate, oceanography, the cryosphere, or atmospheric science. Interest in the intersection of solid/fluid mechanics. Experience working with the Julia programming language is
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, for example: supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports
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particular focus will be on exploiting the extensive experimental data generated within the HKN project, including measurements from wind-tunnel experiments and full-scale offshore wind turbines. These data
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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy
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Experiments (DoE) and Bayesian optimization, manage research data using the NOMAD research data infrastructure, and apply data-driven optimization strategies. Analyze and interpret experimental data
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record and demonstrated experience with modern, advanced microanalytical techniques for mineral characterisation, particularly of quartz. Relevant expertise includes crystal chemistry and microtextural
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experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
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. This doctoral project examines how these developments shape relational aspects of work, (which may include authenticity, trust, social connection, and experiences of loneliness), as people negotiate emerging