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with machine learning, computer vision and/or statistical analysis Experience in field work Proficiency in English Catalan and Spanish are valued. LanguagesENGLISHLevelBasic Research FieldAgricultural
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data analysis is required, particularly in the handling and interpretation of data arising from physical experiments or computational models relevant to nanoscience. Teamwork; Critical thinking and
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
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interpreting DESI data. Developing new tools and techniques for data processing and analysis. Exploring the large-scale distribution of galaxies and its implications for cosmology. This position is ideal for a
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to historians, educators, and the wider community. The work will involve: Digitisation and computational processing of historical records, including metadata creation, textual analysis, data mining, and
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measurements) · Data analysis and writing of manuscripts for peer-reviewed publications. Requirements: Applicants must hold a Master's degree in Physics, Nanotechnology, Materials Science, or related discipline
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. The researcher cannot already be in possession of a doctoral degree. Desirable skills: Previous experience in participating in research projects (e.g., data collection, analysis). Experience with EEG data
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of bacterial populations Transcriptome/genome sequencing and analysis Directed laboratory experiments to test hypotheses derived from the evolution experiments What do we offer? A fully-funded four-year PhD
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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correlated it with nanoscale microstructure analysis and growth reactions paths. Therefore, a 7-class clean room facility, a 9 and 16 T magnetic system, Transmission Electron Microscopes and an in-situ growth