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, hydrological modelling, altimetry, remote sensing and machine learning. Admission Regulations for Doctoral Studies at Stockholm University are available at: www.su.se/rules and regulations . Terms of employment
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., phylogenetic models, ancestral state reconstruction, evolutionary rates analyses, etc.) is meriting. Bayesian phylogenetic approaches, applying machine learning to biological data, and tree building are not
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of senior lecturer should hold a PhD in computer and system sciences or have equivalent research skills and have demonstrated teaching expertise. Teaching proficiency should normally be demonstrated through
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. The applicant should also have excellent skills in the English language, both written and spoken. Knowledge on TEM/STEM, crystallography, programming, machine learning, or nanoporous materials is an
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machine learning techniques, carry out and analyse numerical simulations, perform theoretical studies, and prepare for the coming LSST data by analysing precursor surveys. Qualification requirements
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be given to research skills in one or more of: astronomical and cosmological data analysis, statistics, programming, radiative transfer and spectral analysis, numerical or machine-learning modeling
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fundamental physics in the LIGO A+era. Responsibilities will include the development and application of advanced statistical inference and machine learning techniques for the analysis of compact object merger