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: Completed, or soon-to-be completed MSc in the biological sciences or different fields in the natural sciences (e.g. computational, mathematical, earth or marine sciences) with a strong interest in ecology and
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are different, and no method can currently tell them apart. This project builds one — with consequences for how carbon inequality is measured, and for a new kind of demand-side climate policy. About us At the
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skills in longitudinal and trend analyses of survival, mortality, and disease burden. Contribute to research aimed at improving understanding of population differences in CKD burden and identifying
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial
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with structures. Required competence is good programming skills in MatLab and Python, and preferably with knowledge about probabilistic analysis and statistics. Your immediate leader is Head of
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outputs. Proficiency in scientific programming and computational tools commonly used in numerical modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages
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intelligence and machine learning. The candidate will investigate how to formally define, measure and reconcile different, at times conflicting, notions of fairness in AI systems, as well as the theoretical
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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problems and building practical solutions that make a difference. To be successful, you'll have: • A tertiary qualification in Computer Science, Information Science or a related discipline, or equivalent