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hold a doctoral degree in demography, sociology, health sciences, data sciences, statistics, economics, or other relevant field, have strong quantitative methods skills and an excellent command
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(at 23:59 UTC +2). Requirements A PhD in computer science or a related topic Prior experience in SAT/ASP/SMT/MaxSAT is essential Any experience in model counting and a broader understanding of machine
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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
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and genomics as approaches to study the cambial cells in the model species Arabidopsis thaliana, and recently also in hybrid aspen and in silver birch. We are seeking postdoctoral researcher(s) and PhD