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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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are looking for highly motivated candidates with: A strong academic background in computer science, AI/ML, bioinformatics, or related fields such as mathematics and statistics Experience or strong interest in
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analysis, behavior analysis. It is an advantage if the candidate has experience in statistical analysis (e.g., using R), has experience in conducting literature reviews, know, and understand the concept
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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå School of Business, Economics and Statistics at Umeå University is looking for a PhD candidate in Business
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be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland and will be funded under the Science Foundation Ireland Investigators award project. The researcher will
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candidate willing to learn new skills and undertake statistical analyses using a variety of datasets. People within Australia with a relevant Honours or Masters (e.g Public Health, Biostatistics, Epidemiology
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education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Read more about us here: https://liu.se/en/organisation/liu/isy/ks . For more
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, Soft Condensed Matter Physics , Soft Condensed Matter Theory , Soft Matter , Space Technology and its Applications , spin-orbit coupling , Statistical Mechanics , Statistical physics , Stellar